Data Scientist II

Job Description:

• Develop clinically grounded, interpretable AI and analytics solutions supporting commercial, medical affairs, clinical research, and enterprise decision-making
• Translate integrated structured and unstructured data into reliable insights, actionable recommendations, and reusable analytical products
• Own analytics and AI workstreams for next-best-action and field education capabilities
• Advance literature intelligence workflows, including search, retrieval, synthesis, evaluation, and validation of AI-generated outputs
• Develop interpretable machine learning, statistical, and generative AI solutions using clinical, laboratory, commercial, and enterprise data
• Build reproducible workflows and reusable components from research prototypes to reliable applications and decision-support tools
• Lead analytics research proposals and collaborations, including cohort definition, analysis planning, modeling, interpretation, and communication of results
• Partner with clinicians, scientists, medical affairs, research teams, and business stakeholders
• Support abstracts, presentations, and research reports while applying privacy, security, validation, and documentation practices
• Contribute to forecasting, Promotion Effectiveness, and Digital Product Impact initiatives
• Perform exploratory analysis, feature engineering, model development and evaluation, sensitivity testing, and scenario analysis using Python or R and SQL
• Collaborate with data and application engineers on pipelines, version control, testing, deployment readiness, monitoring, and maintenance
• Document data lineage, assumptions, limitations, and recommendations

Requirements:

• Bachelor of Science (BS) or Master of Science (MS) degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field
• 5+ years of experience in data science, machine learning, advanced analytics, AI engineering, or a related role
• 3+ years of experience in healthcare, diagnostics, biotechnology, clinical research, life sciences, or another regulated environment
• Strong hands-on proficiency in Python or R, SQL, and Git-based development workflows
• Experience developing and validating predictive, descriptive, statistical, or machine learning models using real-world clinical, EHR, laboratory, research, or other complex longitudinal data
• Ability to produce audit-ready documentation covering data lineage, methods, assumptions, testing, validation, and model limitations
• Strong written and verbal communication skills and ability to collaborate across technical, scientific, clinical, and business teams
• Preferred: experience with AI-enabled search, natural language processing, literature intelligence, retrieval-augmented generation, or document synthesis
• Preferred: experience moving analytical prototypes into user-facing or production workflows, including testing, monitoring, and ongoing support
• Preferred: familiarity with Databricks, cloud data platforms, model lifecycle management, and modern analytics application frameworks
• Preferred: experience contributing to clinical research deliverables such as protocols, abstracts, presentations, manuscripts, or analytical reports

Benefits:

• Competitive base salary and incentive compensation
• Health and welfare benefits
• Gym reimbursement program
• 401(k) savings plan match
• Employee Stock Purchase Plan
• Pre-tax commuter benefits
• Up to 30 days of paid leave annually for a full-time employee who donates an organ or bone marrow
• Additional discretionary bonuses/incentives and restricted stock units may be available