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At Real Chemistry, making the world a healthier place isn't just an aspiration-it's our everyday reality. Our drive to transform healthcare is informed by our blend of deep scientific expertise, human-centred creativity, and AI-driven insights, fostering a unique environment where innovation thrives and our people are impact-obsessed. As a global agency, we provide a full suite of services across healthcare communications and marketing to our clients, including top players in the pharmaceutical and biotech industries. Our #LifeatRealChem culture is rooted in our people-we believe we are best together and are committed to excellence for both our clients and colleagues. Whether you're a seasoned professional or just starting your career, if you share our passion for healthcare and connection, we invite you to explore our opportunities. Discover your purpose. Embrace innovation. Experience #LifeatRealChem. We are seeking a strategic and hands-on Data Science and Machine Learning leader for our data science and AI/ML initiatives. This role sits in our AI organization and will report to the Chief AI Products and Solutions Officer. In this pivotal senior leadership role, you will be responsible for defining and executing the data science strategy and ensuring that our AI solutions create significant, measurable business value. Key Responsibilities Data Science and ML Strategy: Define, articulate, and execute the data science/ML strategy, aligning it with the overall AI strategy and the overarching business objectives. Identify high-impact opportunities where data science can drive growth, efficiency, and a competitive advantage. Hands-On Technical Contribution: Act as a subject matter expert and a technical leader for the team. You are expected to contribute directly to complex modeling, architecture design, and code reviews. You will set a high technical bar for the team and lead by example. Team Leadership & Development: Build and lead a high-performing team of data scientists and machine learning engineers. Foster a culture of excellence, innovation, and continuous learning, providing both strategic and hands-on guidance. Stakeholder Management: Serve as a trusted advisor to senior executives and business leaders, translating complex analytical findings into clear, compelling business narratives. Influence strategic decisions and champion the adoption of data-driven solutions. End-to-End Delivery: Manage the entire lifecycle of data science projects, from initial problem framing, hypothesis generation, data exploration and model development to the production deployment and monitoring of AI/ML models. Ensure projects are delivered on time, within budget, and in compliance with data governance and ethical standards. Operational Excellence & Governance: Champion and implement MLOPs principles - building and managing CI/CD pipelines, automating model deployment and establishing robust monitoring systems. Partner with legal and compliance teams to ensure the responsible and ethical use of AI, mitigating risks and building trust. Qualifications & Skills Education & Experience: An advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is highly preferred. Minimum of 10+ years of progressive experience in data science, with at least 2+ years in a senior leadership role (e.g., Director) managing teams of data scientists. Technical Acumen: Demonstrated expertise in building and deploying scalable AI/ML solutions in a cloud environment (e.g., AWS, Azure, or GCP). Proven experience with generative AI models (e.g., Large Language Models like Claude, GPT, Llama), frameworks such as RAG and their applications in business. Experience and familiarity in developing agentic AI systems that can perform multi-step, autonomous tasks. Deep understanding of statistical concepts and experimental design (A/B testing) Deep understanding of the theoretical and practical application of a wide range of machine learning techniques, including supervised, unsupervised learning, and reinforcement learning. Strong hands-on proficiency in programming languages like Python (with a deep knowledge of ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras) or R, and expertise in SQL. You should be comfortable writing production-level code. Leadership & Strategic Skills: Proven track record of building, scaling, and leading diverse, high-performing technical teams. Exceptional communication, presentation, and influence skills with a strong executive presence. Strong business acumen with the ability to translate data insights into tangible business outcomes. Experience managing vendor relationships, and cross-functional programs. Preferred skills: Experience in marketing, commercial and sales functions in biotech, pharma or healthcare domain is highly desired. Pay Range: $220,000 - $240,000 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. Real Chemistry is proud to be Great Place to Work certified; check out what our people shared about our culture and workplace on our Great Places to Work Profile here. We believe we can do our best when feeling our best, which is why we've put together a benefits program designed to give you the support you and your family need at every stage of life. Real Chemistry offers a comprehensive benefit program and perks, tailored to your region. Globally, this includes offices in our key markets with free snacks to keep you running all day long, generous holiday and paid time off, options for private medical, dental, and vison plans, and support in saving for the future. Other perks include mental wellness coaching and support and access to more than 13,000 online classes with LinkedIn Learning. Learn more about our great benefits and perks and search specific offerings in your region at: www.realchemistrybenefits.com. Working with Real HART: Since the pandemic, we have adapted to how our people told us they want to work. We have office locations in cities in the US, UK, and Europe with many employees and clients that serve as hubs where and when they need us. For employees who are within an hour of one of our offices, we expect attendance in the office two days per week, either at a Real Chemistry office or onsite with clients. We are also actively opening new office locations, so if one opens near you, our Real HART policy will apply. We are not looking for attendance for the sake of attendance but believe that the opportunity to coordinate in-office team meetings, 1:1 meetings with managers, taking advantage of on-site learning, and connecting with client partners is a critical to delivering on our purpose of making healthcare what it should be. Outside of these offices, we have regions, where people work remotely but come together quarterly for collaboration, culture and learning opportunities. We call this our Real Hybrid and Regional Teams (Real HART) approach. Real Chemistry believes we are best together - and our workplace strategy fosters connection and collaboration in person - but also supports flexibility for our people. Real Chemistry is an Equal Opportunity employer. We continually strive to build and sustain an inclusive and equitable work environment where our employees feel empowered to leverage all they bring from their personal lived experience and professional expertise, to make our team the best in the industry. We encourage motivated and qualified applicants to apply without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity/expression, ethnic or national origin, age, physical or mental disability, genetic information, marital information, or any other characteristic protected by federal, state, or local employment discrimination laws where Real Chemistry operates. Should you require accommodations throughout the interview process please let your recruiter know. Notice: Real Chemistry and its affiliates' names are being misused by scammers through messaging services, fake websites, and apps. Do not share personal or financial information or make payments to any unverified sources claiming to be connected to Real Chemistry. We are working to stop these unauthorized activities and protect our community. Read more here.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science- Patient Mastering, Consent & Preference Management. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. This position requires up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Patient Mastering and Consent & Preference Management leads the strategy, governance, and operationalization of patient-centric master data across R&D. This role is responsible for ensuring that patient, consent, and preference data are accurate, complete, traceable, and accessible across the enterprise, enabling trusted data use in clinical development, real-world evidence generation, and regulatory submissions. As part of the R&D Data Science & Digital Health- Data Strategy & Products team, the Director will define and implement best-in-class approaches for patient mastering and consent and preference management. This includes harmonizing patient identifiers across systems, establishing clear stewardship practices, and embedding privacy and compliance requirements to support ethical and responsible use of patient data. Key Responsibilities: Patient Master Data Strategy & Execution Lead the design and delivery of a forward-looking patient mastering strategy that ensures consistent, high-quality, and fit-for-purpose patient and participant data across R&D. Develop and maintain a unified patient master that connects patient, account, and clinical study data for seamless interoperability. Consent & Preference Management Establish frameworks and tools for capturing, managing, and tracking patient consent, preferences, and permissions across the data lifecycle. Ensure alignment with privacy regulations (e.g., GDPR, CCPA, HIPAA) and ethical standards for the use of patient data in research and clinical development. Data Quality & Stewardship Drive effective patient data stewardship practices across platforms and vendor ecosystems to ensure accuracy, completeness, and consistency. Define and implement data quality metrics and SLAs for patient and consent data with external partners and internal stakeholders. Governance & Compliance Partner with Legal, Privacy, and Compliance teams to ensure robust governance of patient and consent data. Drive adoption of controlled vocabularies, standards (e.g., CDISC, HL7 FHIR, GDPR consent models), and ontologies that enhance data integrity and interoperability. Collaboration & Integration Work closely with Data Product Architecture, Knowledge Management, and Data Product teams to ensure patient master and consent data are embedded and utilized effectively within the broader R&D data ecosystem. Engage with Clinical Development, Clinical Operations, Safety, Regulatory, Medical Writing, and external partners to align on patient data definitions, access, and usage. Strategic Communication & Leadership Serve as the enterprise advocate for trusted patient data, articulating its value in driving better insights, accelerating trials, and strengthening patient trust. Provide leadership with regular updates on patient data quality, consent compliance, and adoption progress. Build and mentor a specialized team of data stewards and domain experts focused on patient mastering and consent management. Strategic Impact By establishing trusted, harmonized patient master and consent data, the Director, Patient Mastering and Patient Consent & Preference Management enables ethical, compliant, and scalable reuse of patient data across R&D. This role strengthens patient trust, accelerates trial execution, and provides the foundation for advanced analytics, AI-driven insights, and regulatory readiness within the global R&D ecosystem. Qualifications Education Bachelor's or master's degree in Information Management, Data Science, Health Informatics, Computer Science, or related discipline. Master's Degree is preferred. Skills & Expertise 15+ years of experience in data management, data governance, or clinical data roles in pharma/biotech. 10+ years' experience delivering master data management capabilities in pharma Deep understanding of master data management (MDM) principles and patient data domains. Expertise in consent and preference management processes, tools, and technologies. Familiarity with regulatory and compliance requirements (GDPR, HIPAA, 21 CFR Part 11). Knowledge of relevant standards (CDISC, HL7 FHIR, OMOP, GA4GH). Strong leadership, stakeholder engagement, and change management skills. Strong written and verbal communication skills and tenacity to drive projects to a successful outcomes Ability to partner across R&D, IT (JJT), Regulatory, and external data providers. Other Travel: Less than 25% (conferences, governance forums, key internal and partner meetings). Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas (xTA) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities, fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J's scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagements. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § This position is eligible to participate in the Company's long-term incentive program. § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Axos Bank Target Range: $25.00 - $25.00 Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. About This Job 2 Data Science Intern positions available! Join Axos Bank's immersive 12-week Summer Internship Program to gain hands-on experience, contribute to enterprise initiatives, and develop professional skills in a fast-paced, technology-driven financial environment. Along with your day-to-day job duties, you will take part in a capstone project, sessions with our business leaders, financial literacy training courses, Corporate Finance Institute trainings, and a volunteer day. Interns choose between one of two sessions. Session 1: May 27 - August 14 Session 2: June 17 - September 4 Axos is seeking a highly motivated and eager to learn Intern to join the Enterprise Data team to help drive innovation and build products through application of Artificial Intelligence, Machine Learning and Advanced Analytics. You will collaborate with other data scientists and analysts, developing and implementing innovative data-driven solutions to optimize business processes, enhance customer experiences, and drive overall business success. This position reports directly to the FVP Data Science and Monetization. Development and implementation of advanced analytics models to support the business decisions. Drive the exploration and utilization of new data sources to enhance predictive modeling and analytical capabilities. Develop and maintain robust business intelligence systems to empower various departments with actionable insights. Implement data visualization tools and dashboards to facilitate effective communication of complex analytical results. Work closely with marketing, risk management and fraud management to develop and enhance marketing models, risk models, fraud detection systems, and other related advanced analytics. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Communicate complex analytical findings and insights in a clear and concise manner to non-technical stakeholders Present to executive leadership Axos Intern Benefits May Include: Sick Leave 401(k) Retirement Saving Plan with Employer Match Program Free Access to Self-Directed Trading Networking with Executives Corporate Finance Institute Courses Access to Onsite Gym and Walking Distance from UTC for San Diego Interns About Axos Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers. Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX). Learn more about working at Axos Pre-Employment Background Check and Drug Test: All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization. Equal Employment Opportunity: Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws. Job Functions and Work Environment: While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc. The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, R&D Data Science & Digital Health - Oncology/Prostate Cancer to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Role Summary The R&D Data Science & Digital Health, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Associate Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data Science and Digital Health, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in Oncology. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact. The Associate Director will: Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data Science & Digital Health. Represent Data Science to Compound Development Team (s), where you will identify, develop and deploy Data Science capabilities and solutions. Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools. With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions. Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs Required Qualifications: Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science). 5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology. An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics datasets, with an understanding of their structure, limitations and applications to research. Prior experience working and driving external partnerships, either corporate or academic setting Proven track record of managing timelines and driving key deliverables in a matrixed organization Excellent communication, interpersonal, and written skills Preferred Qualifications: Working knowledge of genitourinary clinical oncology, such as treatment paradigms, patient experience, and clinical trials Hematology/ Oncology fellowship training R&D Experience at a pharmaceutical company, biotech or partner organization Knowledge of regulatory science. This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, R&D Data Science & Digital Health - Oncology/Prostate Cancer to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Role Summary The R&D Data Science & Digital Health, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Associate Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data Science and Digital Health, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in Oncology. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact. The Associate Director will: Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data Science & Digital Health. Represent Data Science to Compound Development Team (s), where you will identify, develop and deploy Data Science capabilities and solutions. Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools. With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions. Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs Required Qualifications: Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science). 5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology. An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics datasets, with an understanding of their structure, limitations and applications to research. Prior experience working and driving external partnerships, either corporate or academic setting Proven track record of managing timelines and driving key deliverables in a matrixed organization Excellent communication, interpersonal, and written skills Preferred Qualifications: Working knowledge of genitourinary clinical oncology, such as treatment paradigms, patient experience, and clinical trials Hematology/ Oncology fellowship training R&D Experience at a pharmaceutical company, biotech or partner organization Knowledge of regulatory science. This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

About Us At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Every day, our teams support the development of new technologies and processes that ultimately advance humanity. By empowering innovators to make informed decisions, be more productive, comply with regulations, and achieve superior results, we directly serve those shaping the future of humankind. About the Team We are launching a small, high-impact innovation team focused on data science and AI-driven solutions. We are seeking a Director of Data Science & AI Innovation to lead this effort. This role blends strategic leadership, applied AI expertise, and hands-on execution. About the Role You will initially lead a very small team (one data scientist and one engineer), working side-by-side with them to prototype, test, and evolve AI solutions from concept to scalable product. As the team grows, you will expand its capabilities, establish best practices, and help shape the future of AI innovation across the organization. Conditions of Employment: You must be a U.S. citizen to apply for this position. Hybrid Position required to report to one of the following Horsham, PA, Washington, DC (Alexandria, VA) or Raleigh, NC Responsibilities Strategic Leadership Collaborate with the CTO and senior leadership to scope, prioritize, and deliver AI and data science innovation projects aligned to business and product strategy. Define and execute our AI strategy, transforming complex business challenges into data science-driven solutions that evolve from prototypes into scalable, production-grade AI services. Modernize data infrastructure and deploy impactful AI capabilities including generative AI, agentic AI, and deep learning. Each tightly aligned with measurable business outcomes. Innovation & Delivery Own the end-to-end lifecycle of AI initiatives from greenfield concept through prototyping, experimentation, and implementation into successful market-ready solutions. Rapidly evaluate new AI/ML techniques, architectures, and technologies for practical application. Champion responsible AI practices, including transparency, bias mitigation, and model governance. Team Leadership & Development Lead and mentor a small founding team, setting the tone for a culture of innovation, experimentation, and rapid iteration. Establish technical best practices in experimentation, data pipelines, model development, and deployment, building the foundation for future growth. Foster organizational best practices by bridging data science, engineering, and product teams to embed AI across business functions, ensuring alignment through transparent communication and cross-functional collaboration. Inspire and develop future team members as the group expands. Collaboration & Influence Partner with product managers to shape AI product strategies and make build-vs-buy decisions. Provide clear communication and insights to senior executives and stakeholders. Represent the AI/Data Science team in strategic forums, highlighting impact and progress. Requirements Experience 12+ years in technology roles with at least 7+ years focused on data science/AI. 5+ years in leadership roles managing high-performing data science or AI teams. Proven track record of delivering greenfield AI/ML solutions into production environments. Experience in rapid prototyping, experimental design, and scaling AI systems. Technical Expertise Deep knowledge of machine learning, natural language processing, generative AI, and modern data/ML architectures. Strong grounding in software engineering practices, data pipelines, and MLOps. Hands-on ability to contribute to early prototypes alongside a small team. Leadership & Skills Excellent communication skills with the ability to explain AI concepts to both technical and non-technical audiences. Demonstrated ability to lead in ambiguous, fast-paced, and experimental environments. Strong experience balancing near-term delivery with long-term technical strategy. Plus Experience Familiarity with lean product development and design thinking. Experience working in startup, innovation lab, or 0→1 product environments. Work in a way that works for you We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees. Working with Us LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About LexisNexis LexisNexis Intellectual Property Solutions is a division of LexisNexis Legal and Professional. LexisNexis is a leading global provider of legal, regulatory, business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We're a part of the stock listed RELX Group, serving customers in more than 130 countries with 10,000 employees worldwide. U.S. National Base Pay Range: $133,400 - $247,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Ibotta is looking for a Technical Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ideal candidate will have experience developing and deploying models into production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for working closely with cross-functional leaders to define and execute on Ibotta's growth strategy. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you'll be doing: Work with cross functional leadership to understand business needs and prioritize the most impactful analytical projects to drive business decisions and growth Build and retain a team of highly motivated data scientists Confidently speak with internal and external stakeholders about foundational models and project deliverables Establish automated processes to scale insights across Ibotta Balance the management of core data & analytics deliverables Serve as a leader across the department, bringing operational and culture building best practices Research industry trends and standards to stay abreast of new developments and proactively suggest areas of improvement Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we're looking for: 5+ years of experience in a measurement-driven function with experience working directly with leadership 2+ years of management experience Bachelor's degree in computer science, data analytics, computer engineering, information systems required Experience hiring, leading, developing, and retaining talent Demonstrated analytical ability, conceptual thinking, and problem-solving skills. Experience in media measurement is strongly preferred. Strong written and verbal communication skills, able to distill complex analytical solutions into actionable insights Excellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and business Excels in a fast-paced environment with the capability to prioritize effectively Industry experience causal inference, regression, A/B, ML, and/or advanced statistical modeling to build predictive and prescriptive models Experience using modern data analysis tools (SQL, Python, etc.) and data visualization tools (Looker, Tableau, Mode) About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. Base compensation range: $124,000 - $144,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Total compensation for this role also includes a variable component in addition to base salary. Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Hybrid #BI-Hybrid

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Manager, Data Science to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week. The Job Build a strong AI and data science foundation : Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making. Lead end-to-end data science & AI projects : From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring. Establish best practices : Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption. Drive marketing science innovation : Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend. Advance forecasting & ROI modeling : Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency. Partner cross-functionally : Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact. Invest in people : Mentor, coach, and elevate a team of high-performing data scientists; foster a culture of technical rigor, curiosity, and applied innovation. Push the frontier of applied AI in marketing : Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency. You Experience & Education 8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization. Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience. Technical Skills Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models. Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions. Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent). Strong data storytelling and executive presentation abilities. Leadership & Collaboration Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations. Experience developing senior data scientists and elevating team practices. Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments. Nice to have Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude). Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization. Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis). Knowledge of multi-arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization. Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $187,000 - $281,000 + equity + benefits. As this is a hybrid position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .

Program Dates: June 1, 2026 - August 7, 2026 The base pay for this position is $35 per hour This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday). At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Who We Are : At their core, Data Scientists at Wayfair are strong in quantitative analysis, have prior coding experience, and take an interest in steering business strategy through data-informed decisions. They think critically to tackle complex problems, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. Leveraging cutting-edge technology and multi-terabyte datasets, Data Scientists will collaborate closely with Product Management, Software Engineering , Operations Research, and Analytics teams in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders to optimize operations What You’ll Do : Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. Collaborate with leaders of functional areas (e.g., Product Management, Software Engineering, , Operations Research, Analytics) to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth. Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and supply chain behavior. Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business and operations problems including demand forecasting, product segmentation, network design, and driving optimal end-to-end outcomes on speed, cost, and service. Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees. What You’ll Need : Basic Qualifications: Currently pursuing a Bachelors degree in Data Science, Computer Science/Engineering, Analytics, Mathematics, Statistics, or other quantitative discipline with the expectation that the degree will be obtained between December 2026 and Summer 2027, with a 3.0 GPA minimum Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Must be returning to the course of study following completion of the internship Preferred Qualifications: Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C) Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Looker a plus. Experience with cloud technologies and tools including VertexAI, GBQ and GCS Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Strong comfort level and appetite to use AI in daily workflow Ecommerce or retail analytics experience a strong plus Why You’ll Love Wayfair : Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: A calendar of intern events including social networking, professional development and a leadership dialogue series Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback Skills-based training Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair Coffee chat opportunities for interns to get to know one another Volunteer opportunities Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems Intern Appreciation Day celebration Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com. Need Technical Assistance? If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com. About Wayfair Inc. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Program Dates: January 5, 2026 - June 19, 2026 The base pay for this position is $27.50 per hour This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday) At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN Who We Are : At their core, Data Scientists at Wayfair are strong in quantitative analysis, have prior coding experience, and take an interest in business. They think critically to tackle complex problems, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. Leveraging cutting-edge technology and multi-terabyte datasets, Data Scientists will collaborate closely with key cross functional teams in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders. What You’ll Do : Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. Optimize supply chain operations, including procurement, logistics, and vendor coordination to ensure efficient and cost-effective delivery of goods and services through insights from analytical assessments. Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and consumer behavior. Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including inventory planning & forecasting, warehouse operations, and logistics optimization. Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees. What You’ll Need : Basic Qualifications: Currently pursuing a Bachelors degree in Data Science, Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, or other quantitative discipline with the expectation that the degree will be completed between 2027 and 2029 Minimum GPA of 3.0 Must be returning to the course of study following completion of the Co-op Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Preferred Qualifications: Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C) Strong business acumen: ability to understand how various parts of the business interact; can identify and approach problems from a customer or supplier perspective Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Looker a plus. Experience with cloud technologies and tools including VertexAI, GBQ and GCS Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Strong comfort level and appetite to use AI in daily workflow Ecommerce or retail analytics experience a strong plus Why You’ll Love Wayfair : Throughout the Co-op Program, we provide Co-ops with the opportunity to engage in social and community building activities including: A calendar of events including social networking, professional development, and dialogue events with senior leaders Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback Skills-based training Coffee chat opportunities for C-ops to get to know one another Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com. Need Technical Assistance? If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com. About Wayfair Inc. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace. PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team’s vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations. You’ll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we’re aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you’ll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company. Key Responsibilities Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes. Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization. Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers. Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance. Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization. Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions. Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement. Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs. Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility. Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability. Basic Qualifications : 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS. Proven track record of building and leading high-impact data science teams. Proven experience deploying machine learning models at scale in production environments. Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms. Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels. Preferred Qualifications: Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred. PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning. This role is expected to come into our San Francisco office 2 days per week , so you can thrive in your new role and fully embrace being a Dutonian! The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts ! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site . Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy . PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at higher levels by providing deep insights into their bodies and daily lives. The Health Data Science team develops novel algorithms and features that expand WHOOP’s health capabilities, spanning women’s health, regulated medical features, wellness monitoring, longevity research, and emerging health insights. By combining continuous physiological data with clinical research and data science expertise, we deliver features that are both scientifically rigorous and deeply impactful for our members. As a Data Science Manager on the Health team, you will lead a team of data scientists and research scientists driving projects critical to WHOOP’s success. You’ll balance program execution with people leadership, ensuring the team delivers impactful health features while fostering professional growth. RESPONSIBILITIES: People Management: Mentor, coach, and develop a high-performing team of data scientists and research scientists. Provide guidance on career growth, skill development, and performance improvement. Program Management: Oversee the execution of multiple data science projects within the Data Science Health Team. Ensure projects are delivered on time, within budget, and to the highest quality standards. Resource Allocation: Optimize resource allocation to maximize team efficiency and project outcomes. Coordinate with other departments to secure necessary resources and support for team initiatives. Roadmapping: Collaborate with cross-functional stakeholders to develop and maintain a comprehensive roadmap for the Health Team's data science initiatives. Ensure alignment with company objectives and market trends. Dependency Management: Identify and mitigate dependencies across projects to minimize risks and ensure smooth execution. Proactively communicate with stakeholders to manage expectations and resolve conflicts. Team Support: Act as a supportive leader, fostering a collaborative and inclusive team culture. Provide guidance and assistance to overcome challenges and achieve team goals. Communication: Serve as a primary point of contact for communicating project status, risks, and opportunities to senior leadership and stakeholders. Facilitate effective communication within the team to ensure clarity and alignment. QUALIFICATIONS: Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, Master’s or PhD preferred. Proven experience (5+ years) managing data science teams or similar technical teams in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams and stakeholders. Strong understanding of data science methodologies, tools, and techniques, with the ability to provide high-level technical guidance. Exceptional leadership and management skills, with a track record of developing and motivating individuals to achieve their full potential. Strategic thinker with the ability to prioritize initiatives, allocate resources effectively, and drive results in line with business objectives. Experience in the healthcare or wearable device industry is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Zoox is looking to hire an Executive Assistant to support our VP Program Management Office and Senior Manager of Data Science. This role will work closely with other Executive Assistants and Administrative Business Partners across all the departments at Zoox. This is an ideal position for someone who works well in a fast-paced environment, is a self-starter, and wants to work on a dynamic and mission-driven team. This role will require strong and complex calendaring and prioritization skills, uncompromising attention to detail, the ability to meet tight deadlines, excellent organizational skills, and the ability to juggle multiple critical requests simultaneously. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior leaders within the company are also critical aspects of this role. Most importantly, you must have a genuine passion for the Zoox mission. In this role, you will: Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking Prioritizing VP and Senior Manager's time effectively Supporting VP and Senior Manager with cross-functional relationship building Assisting with team off-sites and events Helping with new hire onboarding Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements Qualificiations: 8+ years of executive assistant experience Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs Comfortable working in a dynamic environment Sensitivity to handling critical and confidential information Excellent written and verbal communication skills Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products Bonus Qualificiations: Ability to learn quickly, ask questions, and be solution-oriented Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Founded in 1999, Viking Global Investors (“Viking”) is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages over $53 billion of capital across public and private investments. Viking has offices in Stamford, New York, Hong Kong, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit www.vikingglobal.com . INTERNSHIP OPPORTUNITY The Data Science Intern(s) will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to analyze, extend, and build on Viking’s significant repository of alternative data assets and generate actionable investment insights. We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. We are open to different durations, start dates, and full-time vs. part time options for the ideal candidate. RESPONSIBILITIES Data Science Intern(s) will have the opportunity to develop impactful analyses and insights to be used across our investment process and organization. Activities could include but are not limited to: Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends Deliver investment insights to the investment team from analysis using alternative data Develop methodologies to identify and evaluate investment opportunities in private companies Identify and evaluate new data sources Streamline the data life cycle, operating model, and process Test and evaluate new technologies to enhance our big data platform Create centralized and automated analyses and processes Contribute to Viking’s overall research effort by sharing information and insights across the firm QUALIFICATIONS Across the firm, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the following traits: A strong performer currently enrolled in a Master’s degree or in a PhD program (3rd year and above) in Data Science, Economics, Finance, Statistics, or related quantitative fields Strong communication skills, with the ability to convey complex ideas to a non-technical audience Independence of thought and ability to carry out a research project with partial supervision Proficiency in Python and statistical libraries, and working knowledge of SQL, BI software (e.g., Tableau), and cloud technologies Sound judgment and ability to take a step back from the analysis and look at the big picture Passion for research, proactive and self-motivated Commitment to excellence Informational webinar: October 30, 6:00-7:00pm ET. Register here: https://vikingglobal.zoom.us/webinar/register/WN_8is_kqIVSNatM6_vo41FpA APPLICATION : Please submit your resume / application through the Viking career site via this link: https://job-boards.greenhouse.io/vikingglobalinvestors/jobs/5658261004 Please remember to indicate your school name on the application page. In addition to your resume as a single PDF document, a supplement to the application is required. In 1-2 pages, describe a quantitative research project that you recently completed. Please include the following details and attach this supplement and your resume as a single document: The research question you were trying to answer The data you used Your approach, including details on the statistical methodologies Your findings The computational environment (e.g., language, main libraries, etc.) Please note our application deadline is November 11, 2025 (11:59PM EST). Incomplete applications will not be considered. Interview process: Our interviews will take place virtually in December. The base salary range for this position in New York City is annual $175,000 to $250,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus,100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate’s skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/ Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to campusrecruiting@vikingglobal.com . CONTACT: Viking Campus Recruiting Team campusrecruiting@vikingglobal.com

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. As an AI & Data Science Principal Leader you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Key Responsibilities P&L Ownership & Strategic Growth Own and manage a portfolio P&L of $10M+ with accountability for revenue growth, gross margins, and delivery excellence. Lead BD pursuits with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement. Develop and convert pipeline opportunities ($3M–$5M range) by aligning client priorities with Axtria’s GenAI and ML offerings. Influence account strategy, pricing models, investment cases, and strategic alliances. Client Advisory & Large-Scale Delivery Serve as executive sponsor for complex client engagements—shaping solution vision, engagement design, and business impact realization. Advise VP/CXO-level stakeholders on Data Science, AI/GenAI strategy, analytics modernization, and operating model transformation. Oversee solution delivery teams (30+ globally), ensuring scientific rigor, innovation velocity, and commercial impact. Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions. Innovation, IP, and Agentic Solutions Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions. Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows. Contribute to the firm’s IP portfolio through thought leadership, open-source tooling, and platform accelerators. Team & Capability Development Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU. Recruit, mentor, and upskill top-tier data scientists, ML engineers, and GenAI specialists. Foster a high-performance culture anchored in continuous learning, ethical AI, and measurable impact. Experience: 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare. Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field. Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth. Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics. Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP. Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks. Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value. Strong executive presence and ability to influence business, IT, and analytics functions. Exceptional track record in building global teams and delivering innovation at scale. Additional Details Hybrid work model (3 days onsite) Waltham, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.#LI-MHT1 Powered by JazzHR

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

UDR is seeking qualified candidates for a Principal Software Engineer- Data Science opportunity for our customer in Aiken, SC to support the Savannah River Site . Principal Software Engineer- Data Science Close Date: 10/13/2025 Job #1449 DUTIES Define scope of information technology (IT) programs and develop effective quality solutions which challenge unique or controversial problems solutions in accordance with SRNS IT processes and procedures. Develop, recommend and monitor business wide strategic direction for information systems and services. Direct and mentors less senior professionals. Accountable for reliability, stability, and availability of the site's business and technical information systems including database infrastructure environments. Provide judgment, leadership, and expertise in the implementation of complex information systems and database infrastructure initiatives. Maintain technical expertise in assigned emphasis areas, demonstrate flexibility in multi-disciplines and assist others in their development Proactively communicate and coordinate with others across IT to provide support for assigned areas and drive change Perform other tasks associated with application development lifecycle, commercial off the shelf software support and database administration: Perform root cause analysis and outlines corrective action plans for global problems Apply a sense of urgency, commitment and focus on the right priorities in resolving issues and developing solutions in a timely fashion Integrate software engineering tools such as configuration management systems, change management, vulnerability scanning, and debuggers in the software development process Guide personnel to ensure efficient utilization of resources and adherence to technical standards, lead the analysis and development of requirements, design specifications, and final products by reviewing systems documentation, plans, and schedules Train and mentor less experienced personnel in the development of requirements, specifications, technical products and existing business processes Lead large sized initiatives and projects by establishing tasks, priorities, milestones, cost estimates, and schedules Conduct feasibility studies of automation opportunities and establish cost benefit parameters Develop logical designs for complex computer systems which meet customer requirements, data administration normalization requirements, and data administration data sharing guidelines Lead system, integration, unit and repair testing Lead validation and efficiency reviews of completed program code Review policies, procedures and strategic direction for technical accuracy Lead cross-functional IT teams Evaluate new requests, provide comments, offer suggestions to improve and estimates level of effort for complex IT solutions Maintain cyber posture and compliance required to maintain federal authority to operate Protects operations by keeping confidential information. SPECIFIC DUTIES Data science professionals are responsible for mining valuable insights from data by converting data inquiries into a structured analytical dataset that supports organizational decision-making, regulatory reporting, advanced modeling, and visual representations. Essential competencies include collecting and organizing analytical data through data management platforms, ensuring data accuracy and integrity, contributing to the interpretation and proper use of data, aiding in the creation of data analysis and sampling strategies, engineering tools for efficient data pipeline utilization, offering important observations related to essential business performance indicators, collaborating with stakeholders to accommodate their data system requirements while resolving data-centric technical hurdles, and effectively presenting analytical findings to meet regulatory standards. These professionals are expected to work in collaboration with users, various technical teams, and stakeholders to perform their roles successfully and manage the data system effectively. They should also be innovative in problem-solving to deliver reliable and technically sound outcomes. REQUIRED QUALIFICATIONS: EDUCATION & EXPERIENCE Education : Bachelor degree in an IT related discipline (e.g., Information Technology, Computer Technology. Software Engineering, Computer Science, Computer Engineering) with 7 years proven performance in related assignments; or Non-related Bachelor degree with 9 years proven performance in related assignment(s); or Associate Degree in IT related discipline (e.g. Information Technology, Computer Technology, Software Engineering, Computer Science, Computer Engineering) with 9 years proven performance in related assignment(s); or Non-related Associate Degree with 11 years proven performance in related assignment(s). In lieu of degree, a high school diploma with typically greater than 13 years of equivalent knowledge and experience is acceptable. Additional Experience Qualifications Possess extensive experience in Microsoft Power Apps Development, Microsoft Power BI Development, and SharePoint Administration. The role requires proficiency in designing, developing, and implementing custom business applications using Microsoft Power Apps to improve operational efficiency. Additionally, the candidate must be adept at utilizing Power BI to transform data into meaningful insights through interactive reports and dashboards. Expertise in SharePoint Administration is essential to effectively manage and maintain SharePoint environments, ensuring seamless integration and collaboration across the organization. Strong analytical skills, attention to detail, and the ability to troubleshoot and resolve technical issues are critical for success in this position. Additional Duties Microsoft Power Apps Development Microsoft Power BI Development SharePoint Administration Experience/Skills: Knowledge of the academic as well as the practical aspects of Software Engineering is required. Ongoing technical development in Software Engineering is required. Proven advanced technical knowledge of computer languages, software development fundamentals/methodology and database infrastructure. Demonstrated programming skills that include analyzing information, software design, requirements, testing, documentation, problem solving, debugging and software development fundamentals/methodology. Must demonstrate proficiency and possess experience necessary to develop complex software and database designs. Demonstrates mastery of relevant software engineering tools such as configuration management systems, change management, scanning, and debuggers in the software development process. Ability to work with very little direction and supervision to complete projects in a timely manner, make time for unplanned assignments and adapt to changing priorities. UDR Consulting, INC is a Service-Disabled Veteran-Owned, Woman-Owned, Minority-Owned, Small Disadvantaged Business. An Equal Opportunity Employer that considers all qualified applicants for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected Veterans, or individuals with disabilities. UDR also supports a drug-free work environment. UDR offers highly competitive salaries and employee benefit packages structured to best suit your needs. We offer multiple individual and family benefit options including paid time off, medical, dental, life, vision, and disability insurance, and a pre-tax 401 (k) retirement account with Company matching contributions and 100% vesting for eligible participants beginning DAY 1. https://udrconsultingincorporated.applytojob.com/apply/ Powered by JazzHR