Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks. About the Role Strider is seeking a Data Science Manager to lead a team of 5-10 data scientists in architecting, building, and scaling AI-driven capabilities that power Strider’s core products. Your team will own some of the most technically challenging problems Strider faces and together you’ll be responsible for defining what we build and how we do it. This team succeeds by developing high-quality models and systems, accelerating delivery through the smart use of AI, and grounding all work in objective, measurable impact. We’re looking for someone who is both a doer and a catalyst – someone who thrives on mentoring others and whose passion drives them to continue coding. As a player-coach, you’ll have an opportunity to transform the business through both hands-on technical work and people leadership. You’ll lead your team to prototype fast, iterate intelligently, and help shape how AI elevates Strider’s ecosystem. What You Will Do Lead, mentor, and grow a team of 5–10 data scientists, fostering a culture of curiosity, experimentation, and impact. Help shape the data science strategy, contributing to the long-term vision of the team while continuously improving how we work. Architect and guide the development of data services and AI systems that power Strider’s current and future products — think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence. Drive the integration and adoption of AI and machine learning that make our data science stack faster, smarter, and more autonomous. Oversee end-to-end delivery of complex technical projects, helping the team balance innovation, velocity, and precision. Partner cross-functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions. Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value. Be a coach, technical leader, and mentor – develop talent, guide architecture, and help your team unblock and level up. Push Strider’s technical boundaries — propose new methods, prototype novel architectures, advocate for scalable AI systems, and share learnings that move us all forward. What You Will Need to Be Successful 6+ years of hands-on data science experience, including production-grade model development. 2+ years of leadership experience with direct ownership of teams and project delivery. Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus. Demonstrated success building AI-augmented workflows, tools, or data services that scale across use cases. Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship. Curiosity that borders on obsession — you read papers, explore new methodologies, test new tools, and challenge yourself because you love it. Relentless pusuit of excellence. Why Join This Team You’ll work at the intersection of AI, data science, and intelligence , leading the team in developing systems that power Strider’s most critical missions. You’ll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale . You’ll have the autonomy to build—teams, architecture, processes—and define the evolution of Strider’s AI capabilities. You’ll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence. Benefits: Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Paid Parental Leave Comprehensive Medical, Dental, and Vision Insurance • 401(k) Plan Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

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, Spring House, Pennsylvania, United States of America, 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 Senior Director, Head of Hematology R&D Data Science & Digital Health . This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. 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 This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine – R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s 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. The anticipated base pay range for this position is $173,000 to $299,000 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 #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

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: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America Job Description: 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 The Director, External Innovation, R&D Data Science , External Innovation will drive the identification, assessment, and execution of strategic AI/ML partnerships that deliver measurable impact across Johnson & Johnson Innovative Medicine (JJIM) R&D. This role is accountable for leading the development of partnerships: producing high-quality diligences, landscape analyses, and partnership assessments that inform and enable decision-making across the R&D value chain, focusing on technologies that apply cutting-edge, multimodal AI/ML to extract insights from generative and agentic AI and complex biological datasets—including genomics, proteomics, transcriptomics, imaging, scientific literature, and emerging data modalities. The role requires deep “bilingual” capabilities across computational and scientific topics, and well as excellent strategic, operational, and communication skills. This position will be based in J&J’s Innovation Center in Cambridge, Massachusetts. Summary Landscape and assess: Conduct rigorous landscaping of external AI/ML capabilities, producing structured assessments that map strategic relevance to JJIM R&D priorities, delivering fit-for purpose landscape reports and assessments Diligence and partnership development: Lead and participate in end-to-end diligence processes—including scientific scoping, technical evaluation, and business analysis—to support partnership formation with high-impact external entities, delivering detailed diligence briefs and advancing and leading the development of strategic partnerships with transformative potential Partnership management and oversight: Manage, monitor, and evaluate ongoing strategic partnerships, ensuring delivery against research objectives and business milestones Strategic contribution: Contribute to JJIM’s AI/ML strategy by synthesizing insights from external engagement into actionable recommendations. Actively collaborate with External Scientific Innovation as a member of one of J&J’s regional Innovation Centers. Responsibilities: Deliver comprehensive landscape reports and structured assessments of external AI/ML capabilities (including generative AI) relevant to JJIM R&D priorities. Lead end-to-end diligence processes—scientific scoping, technical evaluation, and business analysis—to support partnership formation with high-impact external entities. Produce detailed diligence briefs and advance strategic partnerships in collaboration with SMEs, transaction teams, and other stakeholders. Alliance manage and oversee execution of ongoing strategic partnerships, ensuring delivery against research objectives and business milestones. Provide direction, monitor progress, and generate periodic evaluation reports. Contribute to JJIM’s AI/ML strategy by synthesizing insights from external engagement into actionable recommendations. Collaborate with External Scientific Innovation team at regional Innovation Center Requirements PhD preferably in Computer science, AI/ML, Statistics, biomedical engingeering, Machine Learning & Artificial Intelligence, Physics, Mathematics, Bioinformatics, Computational Biology, Biology or a related discipline 8yrs + in related work experience Proven track record in developing and scaling AI/ML solutions, especially generative models, in a start-up, industrial, enterprise setting Strong foundation in computer science, with hands-on experience in model architecture, deployment, and performance optimization. Exceptional strategic thinking, communication, and stakeholder management skills. Experience working across scientific and technical domains, with the ability to translate complex technical concepts into actionable business strategies. Experience developing strategic partnerships Experience in healthcare and/or life sciences Deep knowledge and expertise in the use of AI/ML for research and discovery within a pharma Exceptional strategic thinking, communication, and stakeholder management skills. Experience working across scientific and technical domains, with the ability to translate complex technical concepts into actionable business strategies. Experience developing strategic partnerships 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-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $164,000 - $282,900 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: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: 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 Johnson & Johnson Innovative Medicine is recruiting for Director, R& D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include: Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders. Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence. Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery. Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries At least 5 years of experience as a people manager Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Expertise in drug development and experience working in a matrixed organization Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments 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 Required Skills: Preferred Skills: The anticipated base pay range for this position is : Applicable Pay Range $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.

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, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Innovative Medicine at Johnson & Johnson is recruiting for an Associate Director of Oncology Data Science. The primary location for this position is either New Brunswick, NJ or Spring House, PA. Consideration will be given to Boston, MA, Raritan, NJ, Titusville, NJ, La Jolla, CA, or other Innovative Medicine locations. 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 Associate Director – Hematology, Oncology Data Sciences & Digital Health will serve as a strategic business leader for data science and digital health initiatives within a clinical-stage development program in the Hematology-Oncology portfolio, with a focus on CD3 T-cell engaging therapeutics in multiple myeloma. You will partner with Clinical Development Teams (CDTs) to deliver advanced analytics, including statistical modeling and AI/ML, to support clinical development and regulatory objectives across the drug development lifecycle. The successful candidate will foster a culture of data-driven decision making and act as a scientific thought leader for Data Science within R&D Oncology. The role requires a strong foundation in drug development and core Data Science methodologies, including advanced statistical modeling or biostatistics. Creativity and innovative thinking will be essential. You will join a dynamic, accomplished team dedicated to advancing novel medicines within Johnson & Johnson Innovative Medicine – Hematology Oncology R&D. Key Responsibilities Partner with cross-functional CDTs to design and implement Data Science strategies to support clinical development and regulatory objectives. Apply advanced analytics (e.g. statistical modeling, AI/ML, generative AI) to a diverse range of applications, such as real-world evidence, clinical phenotyping, medical imaging, and biomarker analysis. Develop, manage and communicate data-driven solutions to cross-functional teams and internal governance processes, including the reporting requirements for both regulatory-grade and observational research. Partner with internal stakeholders and external vendors to identify data needs and procure novel data sources and/or technologies for bespoke applications. Collaborate with Clinical Development, Medical Affairs, Regulatory, and Commercial teams to identify opportunities for data-driven innovation. Oversee timelines, budgets, and deliverables for scientific research projects. Serve as a representative for the broader organization in scientific collaborations, conferences, and consortia. Required Qualifications Advanced degree (PhD, MD, or PharmD/MS) in a field involving high-dimensional data analysis (e.g. computational research, pharmacoepidemiology, statistics, outcomes research or related field in health care area). 5+ years of experience in pharmaceutical industry, biotech, or relevant healthcare analytic role. Working knowledge of drug development process, such as translational research, clinical trials, or regulatory interactions. Fluency in advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques. Familiarity with healthcare-related datasets, such as electronic health records (EHR), real-world data (RWD), or genomics, with an understanding of their structure, limitations and applications to clinical research. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals. Proven track record of managing timelines and driving key results in a matrixed environment. Excellent communication, interpersonal, and written skills. Preferred Qualifications Experience with regulatory submissions and interactions, including the application of data analysis to support regulatory decision-making. Demonstrated success applying emerging and innovative methods to drug development, such as generative AI. Track record of effective collaboration on multifunctional teams delivering clinical trials in R&D or Medical Affairs settings. 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-GR1 #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 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

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We’re in search of a Senior Data Science Engineer who is passionate about detail, proficient in using analytics to solve business problems, and skilled at applying AI and automation to streamline workflows and improve efficiency. We’ll need you to build new reporting capabilities to meet business demand, and at the same time provide quality and velocity. We expect you to work with multi-functional teams to understand business requirements and analyze data to support decision making. You will also engage with collaborators to ensure smooth validation and deployment of new features. Ideal candidates are passionate about data analytics and AI, standout colleagues, and are leaders with a vision and a growth mindset! What you'll Do Lead, build, develop and deploy business reporting and analytic solutions for Adobe's corporate teams. Regularly interact with collaborators on project portfolio, technology roadmap, and planning on future business objectives. Bridge the gap between key business objectives and technical capabilities by providing fully coordinated solutions in partnership with the business Prior understanding of SAP Quote to Contract and Order to Billing processes; Experience with other corporate business operations and analytics Strong proficiency in querying and manipulating large data sets. Perform regular ad-hoc data querying and analysis to better understand revenue, bookings, billings, compliance, spend, and employee related insights Partner with engineering teams to implement business solutions and validate the product against requirements. Implement process improvements and automations to optimize delivery, operational and support processes Collaborate and partner on a day-to-day basis with business users, engineers, and managers to build, develop, deploy, operate and support new business solutions Craft sophisticated conceptual builds (including application interfaces and interactions) and dashboards. Plan and establish post-delivery activities including ongoing application support. What you need to succeed BA/BS and 10 years of work experience in a data science / analytics role Experience supporting analytics in Revenue, Finance, and Employee data domains. Hands-on experience with Data Analytics Platforms (Databricks, SAP HANA) and business intelligence tools (PowerBI, Tableau etc.) Ability to understand business requirements, strategy, goals and processes, and translate them into functional/system specifications. Ability to work independently, to mentor new and junior members of the team, and participate effectively in global teams.Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $194,000 - $281,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice 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. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Data Science Intern at Micron Technology, you will apply advanced analytical methods, statistical modeling, and modern machine learning techniques to extract insights and build predictive solutions that drive efficiency, yield improvement, quality enhancement, and cost optimization across semiconductor manufacturing and business operations. You will work closely with data scientists, engineers, and cross-functional domain experts to define analytical questions, evaluate data readiness, design experiments, and operationalize models. This role offers hands-on experience with real-world datasets and exposure to end-to-end data science workflows, from data acquisition and feature engineering to model development, validation, and deployment. Responsibilities Conduct exploratory data analysis, feature engineering, and model development using modern statistical and machine learning methods. Apply techniques across one or more domains such as signal processing, image analytics, time-series analysis, anomaly detection, optimization, and predictive modeling. Implement and evaluate machine learning algorithms, including classical ML, deep learning, and generative AI techniques where appropriate. Develop software, scripts, and automated workflows to cleanse, integrate, and analyze large-scale datasets from diverse sources. Work with structured, semi-structured, and unstructured data, applying data quality, data governance, and reproducibility best practices. Collaborate with engineering teams to translate analytical findings into actionable insights and deployable solutions. Utilize cloud platforms (GCP, Snowflake, etc.) and modern data engineering pipelines to support scalable model development and experimentation. Minimum Qualifications BS degree in statistics, physics, computer science, engineering, applied mathematics, data science or related field, with the intentions of completing a MS or Ph.D. in one of these fields or Data Science. Must be a current student and must not graduate before Dec. 2027 . Strong desire to apply data science to solve complex technical and business challenges such as improving yield, reducing cycle time, optimizing processes, or enhancing product quality. Working knowledge of SQL or other query languages for data extraction, transformation, and integration. Ability to handle datasets of varying size and complexity, from small-scale experimental data to large-scale manufacturing or sensor data. Proficiency in Python, with the ability to write clean and reproducible analysis scripts. Familiarity with machine learning concepts (regression, classification, clustering, etc.) and willingness to learn advanced methods such as deep learning, computer vision, or generative AI. Preferred Requirements Strong problem-solving skills with logical approach. Strong verbal and written communication skills Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with people from different culture backgrounds. Internship duration: 6 to 12 months Preferred start date: May 2026 As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently . This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays Who We're Looking For Toyota Financial Services (TFS) seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization. The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance. As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development. What you’ll be doing Technical Leadership: Spearhead the development of sophisticated predictive and prescriptive models that drive business value Establish and maintain data science best practices, methodologies, and quality standards Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets Translate analytical insights into clear, actionable recommendations for senior leadership Regularly participate in code review and hold a high bar for code quality. Team Management: Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities Balance hands-on model development with strategic team leadership Drive project execution through both direct reports and cross-functional project teams Business Partnership: Partner with business leaders to identify high-impact opportunities for data science applications Present complex analytical findings to stakeholders at all levels of the organization Develop and execute data science strategies that align with TFS's business objectives Lead the evaluation and adoption of emerging data science technologies and methodologies Qualification Section What you bring Education & Experience Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field At least 5 years of progressive experience in applied data science and analytics Demonstrated experience leading and mentoring junior data scientists and analysts Track record of successfully delivering complex data science projects in a business environment Technical Expertise Strong proficiency in Python and its data science ecosystem Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels Deep understanding of statistical and machine learning techniques. Experience with data manipulation, cleaning, and pipeline development Leadership & Soft Skills Proven ability to translate complex technical concepts into actionable business insights Strong problem-solving skills with a proactive approach to identifying opportunities Excellence in stakeholder management and cross-functional collaboration Outstanding written and verbal communication skills Added bonus if you have Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Cloud Platform Expertise: Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML) Understanding of cloud-based data processing and storage solutions Knowledge of MLOps best practices and deployment workflows Strategic Leadership: Track record of successfully influencing and driving change across multiple departments Experience managing complex, cross-functional initiatives with competing priorities Ability to build consensus and align stakeholders around data science initiatives Technical Architecture: Experience modernizing legacy systems and processes Knowledge of data architecture principles and system integration Proven ability to design and implement scalable data science solutions What We’ll Bring During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: A work environment built on teamwork, flexibility and respect. Professional growth and development programs to help advance your career, as well as tuition reimbursement. Team Member Vehicle Purchase Discount Toyota Team Member Lease Vehicle Program (if applicable) Comprehensive health care and wellness plans for your entire family Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute. Paid holidays and paid time off Referral services related to prenatal services, adoption, childcare, schools and more. Tax Advantage Accounts (Health Savings Account, health Care FSA, Dependent Care FSA) Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com .

About This Role: We are seeking a Director of Advanced Analytics, Data Science & AI responsible for generating and delivering data-driven insights to support a brand, therapeutic area, or cross-brand/enterprise and contribute to the development and enhancement of innovative capabilities. This role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing problems, and crafting solutions, all while clearly and compellingly communicating data-driven insights. This position is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. You will be at the forefront of advancing our data science capabilities, nurturing a culture of innovation, and elevating the impact of analytics across the organization. With a passion for data-driven problem solving and a strong background in data science and AI, you will lead and develop high-performing teams to drive strategic business decisions. What You’ll Do: Provide an enterprise view of insights across Product/Brand and Therapeutic Areas (TA) on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action. Lead the development and implementation of data-driven solutions using advanced analytics and machine learning techniques, predictive algorithms, and AI-powered tools. Create vision that enables the productization and automation of internally built Data science and AI solutions. Manage and mentor a team of data scientists (internal and external) and AI experts to drive innovation and deliver high-quality results. Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them. Collaborate within the insights & analytics team and coordinate efforts with the Insights & Analytics counterparts to develop and execute a comprehensive brand analytics plan. Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings. Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives. Define and track key performance indicators to measure the success and impact of data-driven solutions. Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation. Stay up to date with the latest advancements in data science and AI and apply them to improve processes and outcomes. Build university partnerships for driving innovation and leading-edge research techniques. Build strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Ensure compliance with data privacy and security regulations and maintain a high level of data integrity. Develop and manage budgets, resource allocation, and timelines for data science and AI projects. Who You Are: You have a proven ability to prioritize and manage complex and innovative projects and establish vision and direction within a fast-moving, challenging, and energetic commercial environment. You are a highly collaborative and perceptive problem-solver with a demonstrated ability to synthesize strategic insights and drive innovation. You have exceptional and proven ability to influence, collaborate, and communicate with internal and external stakeholders at all levels. You are well known in the industry as an expert in this field and can elevate the team’s presence in reputed forums. You can be instrumental in attracting great talent and developing current talent. You champion bringing innovation to the commercial and medical organizations. Required Skills and Experience: A minimum of 10 years of experience in advanced analytics in US commercial settings, previous experience in a biotech/pharmaceutical organization, or in leading global management consulting firm. Minimum of bachelor's degree, preferably in engineering, economics, statistics, computer science, or related quantitative field. Extensive expertise and experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks. Strong experience with Job Level: Management Additional Information The base compensation range for this role is: $196,000.00-$270,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Exciting Opportunity at MSK: Chair, Department of Cancer Data Science Role Overview Provide inspiring and visionary leadership as Chair of the Department of Cancer Data Science which consists of forty-five faculty members with expertise in biostatistics, computational oncology, epidemiology, and related fields in population sciences, reporting jointly to the Chief Physician Executive and the Hospital President. Develop and execute a cohesive strategy that advances innovative quantitative methods and their translation across basic, translational, clinical, and population science. Champion the integration of machine learning and artificial intelligence in all aspects of our mission discovery, education, and care delivery; serve as a key partner with senior leadership on institutional AI strategy and data governance. Strengthen and expand existing programs while building out new services, including informatics—through strategic recruitment, mentorship, and faculty development. Foster cross‑departmental and enterprise‑wide partnerships; leverage MSK’s unparalleled clinical, genomic, imaging, and pathology data assets to accelerate discovery and translational work that improves patient outcomes. Key Requirements: PhD or MD/PhD in a relevant quantitative discipline. National/international recognition and accomplished leadership in data science fields relevant to cancer 5–7+ years of leadership experience in an academic medical center or cancer center; prior service as Chair/Section/Division Chief strongly preferred. Individuals with leadership experience in government or industry settings may also be considered. Proven ability to recruit, develop, and retain outstanding faculty; build high‑performing, inclusive teams; and grow multi‑investigator research programs. Track record of methodologic innovation and impactful scholarship; success securing federal, foundation, and/or industry funding. Exceptional communication, collaboration, and stakeholder engagement skills; highest standards of professional ethics and integrity. Core Skills: Strategic planning and program building across quantitative sciences research and clinical translation. Expertise in AI/ML development and/or application to oncology research and care delivery. Operational stewardship: budgeting, resource allocation, and research compliance. Faculty mentorship, talent development, and culture‑building across ranks and roles. Partnership development with internal/external stakeholders (e.g., SKI, clinical departments, data/IT leaders, federal agencies, foundations, and industry). Application Instructions: Submit CV and a letter of interest (addressed to the MSK Search Committee) describing relevant experience, key achievements, and your vision for this role to: Contact Name: Carrie Carpenter, Russell Reynolds Associates Contact Email : carrie.carpenter@russellreynolds.com Pay Range: $500,000 – $600,000 (total compensation). Helpful links: MSK Compensation Philosophy Review Our Great Benefits Offerings Pay Range: $0.00 - $10,000,000.00FSLA Status: Exempt Closing : At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Manager of Business Analytics- Data Science Business Unit: Strategy and Innovation Reports to: Director of Data Science Position Overview: This position is primarily responsible for running a small team who will influence decisions across the organization through the use of advanced business analytics and reporting techniques. As a business-savvy member of the Operational Risk & Support Services team, this position drives the development of data-driven insights through advanced technical and business skills. Those insights should provide the C-Suite and senior leaders with meaningful view and actionable intelligence into various departments using key risk and key performance indicators. Primary Responsibilities: Lead team to perform advanced analytics and reporting using the latest technologies and modern and techniques; the intention of which is to increase awareness of organizational performance and highlight business opportunities. Develop and architect cross-functional infrastructure to produce centralized, automated, scheduled reporting and analytics to key stakeholders at FNB. Should be able to do use SQL and Python skills for data analysis. Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team. Creates a technical environment in which data and solutions are documented properly. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation’s risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: MA or MS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 10 Skills Required to Perform the Primary Responsibilities of this Position: Excellent communication skills, both written and verbal MS Excel- Expert Level MS PowerPoint- Expert Level Detail-oriented Ability to work and multi-task in a fast paced environment Excellent project management skills Communicate insights by KRI/KPI + commentary. Create/maintain data specifications, ST/LT strategy, milestones Partner with IT, data providers, Mgmt. etc. Problem solving Attention to detail Data prep/modeling/visualization Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: An advanced technical or business certification is a plus. Familiar with Python, R, SQL and Power BI Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Our data accelerates the pace of innovation, empowering researchers to characterize disease, discover new opportunities, maximize clinical trial success, and ensure new therapies reach the right patients. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to transcriptomics and digital pathology. The Feasibilities team is seeking a data-driven analyst to work at the intersection of Sales and Data Science. This role partners with clients to define patient cohorts of interest, define appropriate data modalities necessary to answer client research questions, and prepares data for delivery. You will develop deep expertise in the Tempus Data Model and help clients create patient cohorts that meaningfully advance their research goals. What you’ll do: Support partnership development between Tempus and the Life Sciences industry by identifying patient cohorts for Tempus’ oncology data licensing business Partner with Tempus’ Pharma Business Development and Life Sciences Strategy & Operations teams to generate fit-for-purpose cohorts supporting pharma research Support monitoring of the volume and profiles of inbound requests, generate analytics in order to gain insights on customer needs, and propagate feedback throughout the organization Maintain code, technical processes, and documentation Support integration of new data sources into feasibility/team operations Mentor and train team members Qualifications: 1+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry Strong command of SQL and other scripting languages (R or Python) Experience using Excel, Google Sheets, or equivalent spreadsheet software Experience in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university, a side project, or previous work experience Experience building client-ready deliverables and other outputs Comfortable working in a client-facing, fast-paced environment Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations Experience with data manipulation, cleaning, and visualization Excellent communication skills with demonstrated ability to communicate with diverse audiences Ability to prioritize work independently, take ownership of deliverables, navigate ambiguity, shift priorities seamlessly, and juggle multiple projects simultaneously Goal orientated, self motivated, and driven to make a positive impact in healthcare Curiosity and willingness to learn skills to elevate the use of automation in commercial operations Thrive in a fast-paced environment and willing to shift priorities seamlessly #LI-HR1 Salary Range: $75,000 -$110,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in the lending space. Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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, Spring House, Pennsylvania, United States of America, 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 Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. 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 This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s 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. The anticipated base pay range for this position is $173,000 to $299,000 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 #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in the lending space. Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, 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: 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 Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. 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. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 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.

Job Title: Data Science Supervisor Position Summary The Chord Energy Data Science Supervisor is a working manager that will lead a small team of data scientists/ML engineers while staying hands-on building models yourself. The team develops, deploys, and monitors machine-learning solutions for subsurface (geology, geophysics, reservoir), operations (production, D&C, reliability), and back-office (supply chain, HSE, finance) use cases that drive measurable business value. This role presents an exciting opportunity for a seasoned data science supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. This position is located in downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading a small team and prioritizing and manage the data-science backlog; translate business objectives into model roadmaps and delivery plans across subsurface, operational, and enterprise domains. Lead the full model lifecycle-problem framing, experiment design, feature engineering, training/validation, deployment, and post-production monitoring-with strong MLOps practices. Be hands-on: write Python/SQL, build and review notebooks/pipelines, perform code reviews, and mentor the team on statistical rigor and software engineering. Maintain and evolve the team toolset (Azure ML, OpenAI/Azure AI Foundry, Snowflake/feature store, MLflow), ensuring reliability, security, cost control, and access governance. Minimum Qualifications Bachelor's degree in a quantitative field 7+ years in data science/ML (including time-series, geospatial, and predictive modeling) Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications Master's degree or PHD or certification in Data Science or Data Analytics Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a Data Science Supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.