Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives®. With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation. Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com The Role We are looking for a versatile Data Scientist to work across multiple investment verticals, including liquid credit, insurance, direct lending, and other alternative strategies. This role provides exposure to diverse asset classes and requires adaptability, intellectual curiosity, and strong technical foundations. Responsibilities Collaborate with teams across the firm to scope and deliver data-driven solutions. Develop flexible Python-based tools to support portfolio monitoring, alpha generation, and risk management. Apply machine learning and statistical techniques to large-scale financial datasets. Design scalable dashboards and visualizations to support investment workflows. Conduct ad hoc analyses across asset classes and product groups. Qualifications Bachelor’s or Master’s degree in a STEM discipline. Complete fluency in Python; strong experience with pandas, NumPy, scikit-learn. Demonstrated interest in financial markets and investing. 2–4 years of professional experience in data science, analytics, or financial modeling. Strong problem-solving skills and ability to deliver practical, usable outputs across domains. It is expected that the base annual salary range for this New York City-based position will be $125,000 to $175,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

William Blair is seeking graduate students to join our innovative technology team for a 12-week internship program during the summer of 2026. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Selected participants will have a unique opportunity to explore areas of statistical analysis, machine learning, deep learning, data science, data visualization, and data engineering to support mission critical business use cases. The summer program also includes training, community service, and social events. Responsibilities include but may not be limited to: Work on multiple data science, machine learning and data engineering projects in Azure cloud and SPARK environment Assemble large, complex data sets that meet functional / non-functional business requirements Work with large, complex data sources to derive actionable business insights with an aim of increased ROI Develop, test and deploy predictive models using various machine learning algorithms and translate results into business recommendations Communicate results to business audience through reports, dashboards and presentation Collaborate cross-functionally with business and technical stakeholders to identify & prioritize project requirements Work with data and analytics experts to strive for greater functionality in our data systems Required Technical Skills: Currently pursuing a Master’s Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2027 Experience using statistical programming languages (R, Python) to manipulate data and draw insights from large data sets Working SQL knowledge and experience working with relational databases as well as NoSQL databases Knowledge and experience in statistical and data mining techniques Experience working with various machine learning / deep learning algorithms and frameworks Text Mining, NLP and Social Network Analysis Experience with data discovery and visualization tools Hands-on data engineering experience using structured and unstructured data Preferred Technical Skills: A successful history of manipulating, processing and extracting value from large disconnected datasets Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Airflow, Azure Data Factory etc. Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management Experience with cloud cognitive eco-system like Azure, AWS

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: We are looking for a seasoned data science and analytics manager to guide the data analysts and data scientists working on Circle’s payments products and compliance efforts. This manager will manage a team of between four and eight people across these areas. You will manage data analysts who are working to report results and explain phenomena to eager product and compliance teams. You will work with data scientists to help understand the payments ecosystem, build automated processes for compliance, and measure the impact of our efforts. The team has a mix of senior contributors and people who are earlier in their career. We would expect the ideal candidate to have a variety of management skills and be able to help people along a variety of career paths grow. This manager would also have cross functional partners who are eager to partner with data to make sure that we make the best decisions possible. You would have the opportunity to inform and influence our product and compliance strategy and we would expect you to help drive business decisions in partnership with them. What you'll work on: Own the data analytics and data science efforts for our payments pillar and our compliance team. Ensure that the work your team produces is technically sound, impactful, and can have an impact on Circle’s business. This includes going deep when necessary and working with your team to effectively communicate results. Providing the feedback that will help improve your team’s work and help members of the team grow. Be a trusted partner to our product, engineering, business development, and compliance teams and work with them to make the best decisions possible for Circle. Build the appropriate rituals and structures to run a smooth running, organized, and impactful team. Partner with other data leaders to build a world class data team What you’ll bring to Circle: 7+ years of experience in data analysis or data science, with 3+ years managing both reporting functions and analytics/data science functions. Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. Strong written and verbal communication skills. Uses data to speak the truth, even if that truth is inconvenient. Ability to effectively partner cross functionally Gives team timely and direct feedback to help them improve Experience in payments is highly preferred Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $205,000 - $265,000 We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Search and Recs Data Science team is responsible for the core machine learning engines powering product search and recommendations across The Home Depot's digital channels, including the homepage, mobile app and email. This team's work is essential in helping our Pro and DIY customers find the products they need to complete their projects, and is an important contributor to the success and growth of THD's eCommerce business. This uniquely high-impact role requires a combination of technical depth and business acumen, as it will include managing a large team of talented scientists, and partnering with Product, IT and Merchandising to continue to improve product findability and discoverability. Key Responsibilities: 35% People Management & Team Leadership- Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Establish a clear vision for the team and influence reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrates accomplishments 30% Data Science Advocacy- Collaborate with business leaders to align on objectives and expectations; Serve as escalation point for any issues or difficulties with specific projects or initiatives; Champion data science capabilities and new skills to continually identify ways to impact the business; Define effective metrics to understand the high level performance against business goals 35% Strategy & Business Development- Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Ensure a successful operating model and cost structure for Data Science is developed and leveraged across the enterprise to standardize ROI calculations and project/team funding; Effectively develop trust and collaboration with internal customers and cross-functional teams; Support data science research and innovation efforts that can serve as competitive advantage for the enterprise; Develop an integrated data science vision and end-to-end strategy; Drive adoption of leading-edge data science techniques and methods, both predictive and prescriptive Direct Manager/Direct Reports: This position typically reports to Senior Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Demonstrated mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Proficient in predictive modeling, data mining and data analysis Proficient in communicating, building influence, and developing relationships with functional and technical leaders, with high-level vendor partners, and across all levels in the organization Proficient in selecting and leading strategic relationships or acting as the primary point of contact for strategic partnerships Proficient in managing and developing direct reports with their own span of control Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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, New Brunswick, 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 Research & Development LLC, a Johnson & Johnson company, is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology and Rare Disease. Is this person you? If it is, you will report to the Senior Director, R&D Data Science and Digital Health, Immunology and Rare Disease. The primary locations for this position are Cambridge, MA, Spring House, PA or Titusville, NJ. 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. Who We Are 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. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Discovery, Late Development, Regulatory Affairs, Epidemiology, Market Access, Medical Affairs and other relevant functions. Responsibilities: DSDH related activities: Provide strategic input into the Immunology R&D DSDH priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Identify viable data science and digital health opportunities and then conceive, develop and implement end to end study design and data analytical solutions. A specific example may include working with the Disease Area Stronghold (DAS) Leaders and Compound Development Teams (CDT) to develop the RWE DSDH strategy to improve early and late phase clinical study designs by supporting novel patient identification/ selection of end points (e.g., identification of at-risk patient populations through development of novel predictive algorithms) Serve as a key liaison to functional area partners and provide support for collaborations with DSDH, Epidemiology, and other internal functional areas to assure alignment on key DSDH programmatic goals aligned with the Immunology therapeutic area Execute the DSDH strategy across a matrixed cross-functional CDT and the Clinical Team, Provide strategic leadership on managing/addressing specific project/program-related issues and presenting to and negotiating with leadership teams on development plans or program-related issues. Participate in and may lead cross-functional teams for evaluation of new scientific opportunities, disease areas, product ideas, implement franchise business strategies, etc. Provide key input into diligence activities Participate or lead cross-departmental or cross-functional projects with broad Johnson and Johnson Innovative Medicine impact Author abstracts and scientific manuscripts for publication based on clinical trial data, real-world data, observational studies etc. Build credible relationships with opinion leaders and may act as company spokesperson regarding publication of research findings and presentations to relevant health authorities and consultant/advisory meetings. This is not an exhaustive, comprehensive listing of job functions. May perform other duties as assigned. Required Qualifications: MD, PHD, Master’s, or PharmD (or equivalent) in relevant area 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science, pharmacoepidemiology and digital health Knowledge of Immunology and the regulatory landscape Experience with healthcare datasets, such as EHR, or insurance claims Preferred Skills: A strong background in RWE/Data Science & Digital Health, as evidenced by an advanced degree in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields Disease expertise in Immunology Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims and registry data Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, and machine learning Ability to travel 15%, domestically and globally 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 $160,000 - $276,000 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:

ABOUT THIS POSITION Waystar is a market-leading provider of cloud-based healthcare payments software. Our mission-critical platform simplifies the complex revenue cycle for providers, enabling them to get paid faster and more accurately, and focus on patient care. We process billions of transactions annually, leveraging a massive dataset of claims, remittances, and patient data to drive outcomes. With Waystar AltitudeAI™, we are at the forefront of applying AI, generative AI, and advanced automation to transform healthcare finance, reduce administrative burden, and achieve peak financial performance for our clients. WHAT YOU'LL DO As the VP of Data Science, you will be a strategic and technical leader reporting directly to the SVP of Data Science + Analytics. Your primary responsibility will be to establish and execute the data science strategy that underpins the evolution of the Waystar AltitudeAI ™ platform. This role demands a visionary who can lead a world-class team, driving innovation to solve the most critical challenges in healthcare revenue cycle management (RCM)—from preventing denials and optimizing prior authorizations to delivering transparent patient financial experiences . You must possess deep technical expertise in machine learning, including foundation models, and have consistently delivered production-grade, highly available solutions that yield quantifiable improvements in customer outcomes in complex, regulated environments. What You’ll Do Strategic Leadership & Healthcare Innovation Develop and champion a comprehensive data science and ML strategy that directly translates into new product capabilities and significant business value for Waystar and its clients. Focus on using data to predict, prevent, and automate RCM workflows. Establish and steward a portfolio of model types (e.g., classification, regression, ranking, forecasting, NLP/LLMs, anomaly detection) that address both clinical and financial objectives Integrate heterogeneous model outputs (clinical insights, operational predictions, financial risk scores) into an integrated, governed enterprise data set that supports analytics, product experiences, and downstream decisioning. Collaborate closely with product, engineering, and commercial leaders to embed data science and ML into core platform offerings, ensuring technical initiatives align with market needs and HIPAA/security compliance. Spearhead the research and deployment of cutting-edge AI and Generative AI solutions (e.g., using LLMs for policy document interpretation, predictive modeling for claim denial rates, intelligent task prioritization) to create differentiated, proprietary technology. Act as a thought leader with analysts, customers, and prospects; communicate our approach, differentiation, and evidence of impact. Leading Data Science Teams & MLOps Attract, mentor, and scale a high-performing, geographically distributed team of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, accountability, and continuous learning. Define and enforce best practices for the entire machine learning lifecycle in a regulated environment, including robust model governance, versioning, continuous monitoring, and drift detection to ensure accuracy and compliance of all production models. Ensure the team operates with the highest standards of data governance, privacy (HIPAA), and algorithmic fairness, specifically addressing bias and transparency in models impacting provider finances and patient care. Technical Expertise in Machine Learning Principles and Healthcare Data Act as the ultimate technical authority on machine learning principles, statistical rigor, and large-scale data analysis within the company. Provide hands-on guidance on complex projects involving unstructured healthcare data. Demonstrated experience and deep theoretical understanding of Foundation Models (e.g., LLMs, VLMs), including model selection, fine-tuning techniques (e.g., LoRA , QLoRA ), Retrieval-Augmented Generation (RAG) implementation, and prompt engineering for generating accurate, context-aware outputs in a healthcare setting (e.g., summarizing policy documents, drafting claim appeal responses). Demonstrated expertise in advanced machine learning algorithms, including XGBoost , Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer architectures. Deep familiarity with natural language processing (NLP) approaches, including concept extraction, human language understanding, and summarization—particularly in clinical and healthcare contexts. Working knowledge of Python, PyTorch , and TensorFlow for developing and scaling machine learning solutions. Direct the technical architecture and tools used for all data science initiatives, leveraging cloud-native solutions (AWS, GCP) and distributed computing frameworks to handle Waystar's massive, multi-petabyte datasets. Oversee the design of rigorous A/B testing and experimentation frameworks to accurately measure the clinical and financial impact of deployed ML models on client RCM performance. WHAT YOU'LL NEED Master's or Ph.D. in Computer Science, Statistics, Engineering, or a highly quantitative field. 12+ years of progressive experience in data science, with at least 5-7 years in a senior leadership role (VP or SVP level) managing global, production-focused ML/AI teams. Deep, hands-on expertise in the full machine learning lifecycle. Proven experience with advanced techniques like Deep Learning, NLP/Generative AI, and predictive time-series modeling, specifically applied to financial, claims, or clinical data. Demonstrable success in translating complex business challenges into clear, deliverable, and high-ROI data science roadmaps. Proven track record of successfully applying data science to both clinical and financial/RCM data (e.g., EHR data, claims, remittances) to drive measurable outcomes is preferred . ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Histopathology Imaging Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future. Job Overview We are looking for a motivated and detail-oriented Digital Pathology Intern to join our team for a summer internship. This role will focus on developing AI models to analyze H&E and IHC images and multiomics data (such as RNAseq and DNA mutations) to characterize the tumor microenvironment and uncover biomarkers linked to disease biology and treatment efficacy. The intern will collaborate with our translational data science team and other stakeholders to contribute to innovative translational research in cancer treatment. What You’ll Do Data ingestion & Analysis Develop or utilize pathology-specific foundation models e.g., CTransPath, PLIP, and BiomedParse, to process and analyze large image datasets Perform integrative analysis of pathology images with multiomics datasets (e.g. RNAseq, DNA mutations). Integrate and preprocess datasets and software packages from diverse sources to ensure compatibility with AI tools. Conduct computation in a GPU-enabled environment on cloud platforms. Model Development & Optimization Assist in fine-tuning and optimizing AI models for tasks such as image segmentation and classification using python/R. Add new functions to the current pipeline of imaging data analysis. Document and present model performance metrics to the team. Biomarker Discovery Apply deep learning/machine learning techniques to predict mutations and/or protein expression and identify potential biomarkers associated with tumor characteristics and treatment outcomes. Work with mentors and other researchers to validate findings and assess their relevance to cancer biology and therapeutic strategies. AI Model interpretability Develop interactive tools enabling pathologists to review whole slide images (WSIs) and evaluate integrated AI predictions on the tumor microenvironment (TME). The tools will leverage diverse vision-language foundation models to enhance model validation and interpretability and bring insights into cancer biology. Research & Reporting Conduct literature reviews to keep abreast of the latest developments in deep learning, digital pathology and multiomics integration. Prepare reports and presentations to share findings with both technical and non-technical audiences. Required Qualifications, Capabilities and Skills Currently enrolled in a degree program in Computer Science, Bioinformatics, Data Science, or a related field. Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., PyTorch) and data analysis tools. Familiarity with image processing and analysis techniques. Experience with cloud computing platforms, e.g., AWS, DataBricks. Ability to collaborate effectively in a team setting. Demonstration of initiative, a proactive attitude, and eagerness to learn in a fast-paced environment. Preferred Qualifications, Capabilities and Skills Prior experience with digital pathology or multiomics data analysis. Basic understanding of cancer biology or oncology research. Excellent written and verbal communication skills. Familiarity with AI coding/agent tools (e.g., Cursor). General Intern Information – Date/Location/Schedule Internships will take place June – August 2026. This role will be based in Princeton, NJ and operate on a required hybrid schedule – 3 days in the office and 2 days remote per week. What’s next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it’s important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we’ll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we’re unable to provide individual updates, rest assured that we’re working diligently to move through the process efficiently. If you move forward in the process, you’ll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you’ll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you. About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X . Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) .

About Glyphic: At Glyphic Biotechnologies, we plan to create the protein revolution for which scientists and researchers have been waiting. We are developing a massively parallel, single-molecule proteome sequencing platform that will transform life science discovery and usher in a new era of insights into human biology and disease. To date, we have raised >$50M from venture partners and non-dilutive grant funding to achieve our vision of next generation proteome sequencing. What we are looking for in you Glyphic is seeking a highly motivated and experienced Senior/Staff Data Scientist to assist in the advancement of our cutting-edge single molecule proteome sequencing platform which has the potential to transform how we understand biology and develop new medicines. We're looking for a Senior Data Scientist who's excited about solving complex, real-world problems with cutting-edge technology. You'll work directly with our CTO and a collaborative team of scientists, engineers, and bioinformaticians who are passionate about pushing the boundaries of what's possible. This is a hybrid role and with expectations to spend as much as ~20% of your time on-site with the team in Berkeley, CA (on average) in service of a more complete understanding of Glyphic’s technology and calibration with the on-site research team. This role will require some flexibility for additional collaboration as projects require. What you’ll do Data Analysis and Insight Generation : Design and implement novel algorithms to analyze proteomics data that no one has ever seen before. Develop machine learning models that can extract meaningful insights from complex, noisy biological signals. Develop and optimize algorithms for analyzing high-dimensional chemistry and NGS data, including single cell, spatial data, and LCMS data outputs Build models that reveal how parameters and molecular interfaces drive outcomes, including surface interactions and molecule-target binding. Design and execute biostatistical analyses using Python and/or R to uncover significant trends, model experimental outcomes, and inform data-driven decision-making. Apply machine learning to guide experiment design, identify key parameters, and optimize workflows for efficiency and reproducibility. Develop clear, insightful visualizations that make complex, high-dimensional results understandable and actionable for scientists and stakeholders. Help define metrics and visualizations that clarify high-dimensional relationships for scientists and stakeholders. Partner with wet lab, hardware, and software teams to translate experimental goals into computational strategies. Pipelines and Automation : Create ETL pipelines that clean, normalize, and integrate diverse datasets (sequencing reads, LCMS spectra, metadata) into analysis-ready formats. Combine off-the-shelf pipelines (basecalling, variant calling, deconvolution) with custom scripts to deliver end-to-end solutions. Continuously improve throughput and data quality by automating QC steps and integrating feedback from experiments. Establish best practices for code quality, testing, and deployment that will scale with our growing team. What you need : PhD in Computer Science, Bioinformatics, Computational Biology, Biostatistics or related field with 4+ (Senior) or 6+ (Staff) years of hands-on experience. Proven ability to model and interpret high-dimensional datasets with numerous interacting variables, uncovering statistically robust patterns and causal relationships. Competency in chemistry data science (e.g., interpreting LCMS data, utilizing deconvolution tools, understanding surface chemistry and molecule-target interactions). Competency in next generation sequencing, including familiarity with multi-omics, error modeling, and basecalling. Expertise in Python and/or R for biostatistical analysis, including data wrangling, statistical modeling, and visualization of high-dimensional experimental results. Experience designing ML models for experimental data and deploying pipelines (Snakemake, Nextflow). Familiarity with ML frameworks (PyTorch, TensorFlow) and data science libraries (pandas, numpy, scipy). Experience building automated data pipelines and infrastructure for scalable analysis (cloud, Docker/Kubernetes). Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Proficiency with data visualization tools (matplotlib, seaborn, plotly) and Jupyter notebooks. Familiarity with version control (git) and pipeline workflow systems (Snakemake, Nextflow, etc.) Nice to have : Ability to work in performant languages (C++, Rust, Julia, or CUDA). Ability to develop solutions that optimize the utilization of large-scale data storage, cloud processing infrastructure, and distributed computing. Direct proteomics experience (mass spectrometry, multiplex assays, etc.). Deep learning experience with time-series data, signal processing, or sequence modeling. Ability to build and deploy scalable ML pipelines using PyTorch/TensorFlow for real-time protein sequence analysis. Experience with MLOps tools and practices for model deployment and monitoring. Experience building commercially successful life science tools that other scientists actually use and love. Previous startup or fast-paced industry (e.g., skunkworks) experience. We’re looking for teammates with : Excellent interpersonal skills – capable of building strong relationships and communicating effectively with stakeholders at all levels. High emotional and analytical intelligence – able to navigate complex team dynamics, partnerships, and challenges with creativity and logic. Resourceful adaptability – operates with urgency, remains flexible in evolving environments, and thrives in ambiguity. Collaborative spirit – enjoys working across disciplines and explaining complex concepts to diverse audiences. What you can expect Work environment : Flexible hybrid schedule with quarterly team gatherings Access to cutting-edge technology and computational resources Collaborative culture where your ideas and expertise are valued Direct impact on product development and company direction Professional growth : Work on problems that don't have solutions in textbooks Your algorithms will directly influence experimental design and product development Debug and optimize real experimental results, not just theoretical datasets Bridge the gap between cutting-edge research and practical applications Learn from a diverse team of world-class scientists and engineers Contribute to first-of-their kind technologies, high-impact publications, and patents Compensation Estimated Base Salary $168,000 - $238,000 This is the pay range for this position that we reasonably expect to pay. Individual compensation is based on various factors including, experience, education, skillset, and geographic location. This range is for the SF Bay Area, California location and may be adjusted to the labor market in other geographic areas . Benefits and Perks: Employee Stock Option Plan 100% Health Plan Coverage for Employees & Dependents (Medical, Dental, & Vision) Employer Retirement Contributions to 401(k) Generous Paid Time Off Paid Maternity and Paternity Leave Health & Wellbeing Program Office Snacks and Beverages Regular Team Bonding Activities We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Glyphic Biotechnologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. The Role We’re looking for a Data Science Director for Growth to lead the data science engine behind Airwallex’s next phase of hyper-growth. This is a senior leadership role at the intersection of data, product, and growth strategy — responsible for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment. This is a full-time role based in San Francisco . What You’ll Do Lead & Scale a High-Impact Team: Build, mentor, and inspire a world-class data science & AI team focused on driving user and revenue growth. Foster expertise in applied ML and GenAI, ensuring the team balances experimentation, traditional DS rigor, and cutting-edge AI capabilities. Own Experimentation at Scale: Architect and oversee our experimentation framework — A/B testing, multi-arm bandits, and causal inference — to accelerate innovation. Extend this framework into AI-driven adaptive experimentation , leveraging bandits and reinforcement learning to allocate growth investments dynamically. Develop Growth-Focused AI Solutions: Agentic workflow for Growth: build copilots and agent workflows (e.g., automated campaign generation, sales assistant bots, lead research copilots) Personalization engines: Use embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging. Advanced segmentation & profiling: Learn patterns & turn data into numbers: Leverage ML + embeddings to identify high-value prospects and clusters. Churn & retention modeling: Predict customer behavior and trigger AI-driven lifecycle interventions. Propensity scoring & lead prioritization: Blend predictive ML with LLM-powered enrichment of firmographics/intent data. Pricing & incentive optimization: Apply reinforcement learning and causal ML to optimize offers in real time. Deliver Strategic Insights & AI-Enhanced Playbooks: Translate complex DS/AI outputs into growth playbooks, roadmaps, and investment strategies. Build self-serve AI-driven insights tools (e.g., natural language query over growth data via LLMs) for cross-functional partners. Partner Across Functions: Work hand-in-hand with CRO, Head of Growth, Growth PMs, Growth Engineers, Marketing, and Sales to embed data-driven thinking into every growth initiative. Define Metrics & Drive Measurement: Establish clear KPIs for acquisition, activation, retention, and LTV; ensure rigorous and consistent measurement across markets and teams. Champion Data-Driven Culture: Elevate the role of data science in shaping business strategy and mentor the next generation of data science leaders at Airwallex. Who You Are Experienced Growth Leader: 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses. Deep Growth Expertise: Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products. Technical Depth: Strong background in analytics, statistical modeling, causal inference, experimentation design, and proficiency with Python/R, SQL, and cloud-based data platforms. Strategic Operator: Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact. Cross-Functional Influencer: Skilled at partnering with Product, Engineering, and Marketing leaders to align on shared goals. Builder Mindset: Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up. Communication: Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Industry/Sector Not Applicable Specialism Data Science Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering innovative data-driven solutions. You will have the chance to work on projects that involve data modeling, machine learning, and complex data analysis, contributing to the development of cutting-edge technologies. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects. This role emphasizes the importance of adopting a learning mindset and taking ownership of your development while appreciating diverse perspectives.In this role at PwC, you will be part of the Data and Analytics Engineering group, where you will apply your skills in data science and machine learning engineering. You will have the opportunity to observe and learn from experienced professionals, participate in a variety of assignments, and contribute to the success of the team. This is an excellent opportunity to start establishing your personal brand and pave the way for future opportunities in the field of data science.Responsibilities - Supporting data science and machine learning engineering teams in various projects - Participating in the development and implementation of data-driven solutions - Assisting in data modeling to organize and structure complex datasets for analysis - Engaging in data mining and data engineering tasks to extract meaningful insights - Applying machine learning techniques to enhance data-driven decision-making processes - Utilizing programming languages such as C++ and R for data analysis and model development - Conducting statistical analysis to identify patterns and trends in large datasets - Collaborating with team members to integrate artificial intelligence and natural language processing into projects - Learning and applying data science algorithms and methodologies to support project goals - Gaining exposure to data science practices and contributing to the team's success through research and basic tasks What You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering- Preference for a 3.3 overall GPA- Demonstrating proficiency in C++ and R programming languages- Utilizing machine learning techniques for data-driven decision making- Applying data modeling skills to organize and analyze complex datasets- Engaging in predictive modeling and statistical analysis for insights- Exploring natural language processing for innovative data solutions- Supporting project management tasks in data science environments-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements : Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Comprehensive, multi-carrier health plan benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. {Empty} U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Description Are you ready for a change? At GS1 US, employees at every level play a vital role and provide a meaningful voice on issues that affect consumers across the country. We are a small company with a world-class culture . We make a huge impact on the way the world does business. What is in it for you: As a Data Science Director at GS1 US, you have the opportunity to join a dynamic organization that is constantly innovating and never stagnant. You will be responsible for leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. In return you’ll be rewarded with great pay and benefits in a hybrid work culture. You’ll work at a high-performance company with a world-class culture that invests in its employees. We don’t just say culture is important to us, we have the data to back it up. We are currently recruiting for this position, which offers a salary range of $135,000 to $170,000. This position qualifies for participation in our annual employee bonus program. This position is also eligible for company-sponsored benefits, which include: Health (medical, RX, dental, vision) - effective immediately 401(k) with Employer Safe Harbor and Profit Sharing Contributions - effective immediately Short and Long Term Disability Coverage Mental Health and Wellbeing (6 employer sponsored therapy and coaching sessions) Individual Wellness Platform Paid Parental Leave Generous PTO and Company Paid Holidays LinkedIn Learning Tuition Reimbursement Kudos (employee recognition and engagement platform) Catered Lunches 2x/week on in office days Who you are: You bring a strong educational background, holding a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. You possess 5+ years of experience with manipulating large data sets, identifying patterns, and developing interference and regression models that can be implemented as well as 8+ years of programming expertise including tools such as Power BI and languages such as Python, SPARK, SQL etc. Proficiency in the Microsoft Azure ecosystem—including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform is essential, as is a solid command of Python and SQL programming. You excel at leading complex projects, shaping analytical strategies, and mentoring junior data scientists and engineers. Your expertise encompasses robust data governance, security, and scalability, with a proven track record in machine learning, deep learning, and statistical modeling. Additionally, you are well-versed in CI/CD pipelines for model deployment. You are experienced in working with third-party data providers and APIs and are familiar with Microsoft Dynamics 365 and other business applications. You are a strong communicator with the ability to translate complex data into clear, actionable insights for a variety of audiences. What you will do: As a Data Science Director, you will design, develop, and deploy predictive models and machine learning algorithms using Microsoft Azure ML, Python, and other relevant tools. Here are a few more details about the role (other duties may be assigned): Leverage Microsoft Fabric for unified data analytics, including integration with Power BI, Azure Synapse, OneLake, and external datasets Collaborate with cross-functional teams to understand data needs and translate them into analytical solutions. Must be able to deliver solutions to production. Analyze structured and unstructured data to uncover trends, patterns, and insights that inform business decisions Visualize data insights using dashboards and reports to communicate findings to stakeholders. Present findings and recommendations to technical and non-technical audiences Provide technical direction and best practices for modeling, data engineering, and analytics Establish good data management practices including data governance and MDM. Establish standards for data quality, model validation, predictive and prescriptive analytics Stay current with industry trends, emerging technologies, and best practices in data science and analytics. Supervisory responsibilities: w hile this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in the area of data science and data analytics. This person is also be expected to collaborate across GS1 US and lead cross-functional teams as needed. Ready to be part of a team that believes the identification of everything makes anything possible? Apply today – we can’t wait to hear your story. GS1 US is an Equal Opportunity Employer - All qualified applications will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin. GS1 US is not accepting unsolicited resumes from search or staffing firms. All resumes submitted by search or staffing firms to any employee at GS1 US via-email, internet or directly without a valid written search agreement will be deemed the sole property of GS1 US, and no fee will be paid in the event a candidate is hired by GS1 US.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced data science techniques and artificial intelligence algorithms. As a Director, Data Science, you will lead the development, delivery, and long-term support of sophisticated models that solve key business problems. This may include the use of advanced artificial intelligence techniques to analyze imagery, text, and other unstructured data. This role will focus on Underwriting Operations within Personal Insurance. The ideal candidate will have in-depth technical experience with data science and artificial intelligence, a proven track record of implementing data science & artificial intelligence solutions into production environments, as well as strong leadership and project management skills. You will communicate insights and tell the story using data to senior leaders. This role will manage others. What Will You Do? Lead business or technical projects focused on the design or development of analytical solutions. Share expertise with the community through discussions, presentations, or peer reviews. Begin to challenge conventional thinking and set and manage expectations with business partners for large projects, generate and share ideas, and be aware of potential conflicts. Anticipate potential objections and persuade senior-level colleagues to adopt a different point of view. Communicate analysis, insights, and results to team, peers, business partners, and occasionally to senior leaders. You will lead group discussions and tailor communication to the audience. Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. Support various training and skill development initiatives, including delivering training to the analytics community Perform other duties as assigned. What Will Our Ideal Candidate Have? Master's in STEM related field or equivalent. 5 or more years of related experience. Subject matter expertise in modeling/ research/ analytics or actuarial required. Subject matter expertise in value creation and business model concepts. Subject matter expertise in multiple statistical software programs. Ability to develop highly complex models, interpret model results and recommend adjustments. Expertise in advanced statistics underlying data models. Ability to apply emerging statistical procedures to complex work. Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

About This Role The Associate Director, Data Science Lead, will play a pivotal role in Biogen’s Data Science team, driving the development of advanced modeling solutions that inform strategic business decisions across Marketing, Sales, and Access. This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will guide and execute while collaborating with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll be a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. What You'll Do: Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends. Lead the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges and extract insights from unstructured data. Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms, while displaying agile ways of working, accountability and value. Being open to feedback from adopters on the quality of outputs and building corrective model fine tuning and performance continuously Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks that drive measurable impact across marketing, sales, and access strategies. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows and decision-making processes. Provide technical expertise and thought leadership on the development of analytical tools, reusable frameworks, proprietary data products, and service lines-contributing directly where needed. Promote analytical rigor, responsible experimentation, and model governance best practices, serving as a champion of quality and innovation across the analytics organization. Collaborate with a high-performing team of data scientists, that encourages learning and experimentation. Collaborate with IT to develop and co-create the ML Ops environments and deliver productized solutions Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness, drive personalized omnichannel engagement, and increase HCP engagement ROI. Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation, enable high-value patient outreach, and enhance commercial performance across key therapeutic areas. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation using data from APLD, PlanTrak, claims, and specialty pharmacy sources. Manage relationships with external analytics partners, ensuring alignment with internal data engineering, insights, IT, and compliance teams for scalable, secure solution delivery. Who You Are: You are a data scientist with strong business instincts, a leadership presence, and a passion for solving ambiguous problems. You thrive at the intersection of analytics and action-building machine learning pipelines that scale and deliver insights that drive strategic decisions. You’re not only a strong individual contributor but also an experienced team leader who enjoys guiding others with ideas, mentoring talent, and fostering collaborative problem solving. Experience Required: Minimum 7 years of hands-on analytics or data science experience, including at least minimum 4 years leading data science projects or teams. Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting. Strong experience in marketing mix, portfolio optimization, decision engine build Gen AI product design Experience deploying data science solutions in a commercial setting-ideally within pharma, biotech, or healthcare. Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools. Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics. Experience working with APLD, Plan Trak, specialty pharmacy, or claims datasets. Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams. Preferred: Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field. Job Level: Management Additional Information The base compensation range for this role is: $158,000.00-$217,000.00 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.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty

We are seeking a highly motivated and talented Manager, Analytical Genetics and Data Science to join the AGDS team at the Regeneron Genetics Center (RGC) to help pioneer the analysis of large-scale proteomic datasets. In this role, you will develop and apply proteomic-based predictive models at scale, with a special emphasis on aging and-age-related diseases. Additional focus areas include the integration of multi-omic datasets, methods development for improved data harmonization and portability, and therapeutic target identification in collaboration with other RGC teams. In this role, a typical day might include the following: Plan, develop, and execute large-scale analyses of proteomic datasets, with an emphasis on aging and age-related diseases. Utilize machine learning techniques to build predictive models and generate insights from multi-omic datasets. Develop and implement methods for data harmonization and normalization across distinct cohorts to ensure consistency and reproducibility of results. Integrate proteomic, genomic, and other multi-omic data to improve therapeutic target discovery and prioritization. Lead the development of reproducible workflows and pipelines for multi-omic data analysis. Collaborate with cross-functional teams to drive large-scale omics projects and support translational research goals. Stay abreast of emerging trends in proteomics, machine learning, and multi-omics to continuously enhance analytical strategies. This role might be for you if have : Proficiency in Python and R, with familiarity in workflow languages such as WDL. Demonstrated expertise in machine learning and predictive analytics applied to biological data. Strong understanding of multi-omic data integration and its application in therapeutic target discovery. Experience in developing and implementing methods for data harmonization and normalization. Proven ability to independently lead and manage research projects from conception to completion. Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams. To be considered for this role, we require: A PhD, MD, or MD/PhD in a relevant field (e.g., bioinformatics, computational biology, genetics, or related disciplines). At least 3 years of post-PhD experience in analyzing large-scale omics datasets, with a focus on proteomics. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $126,700.00 - $206,900.00

Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We're driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We're pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We're looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You'll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You'll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor's in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications) Master's or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; with a graduation date between December 2026 and June 2027 (required) Available during Summer 2026 for an internship in San Francisco Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras) Experimental design and analysis Exploratory data analysis Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the San Francisco area is $58-$62/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility 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.