Data Scientist II

This is a fully remote position, open to applicants in United States.

📋 Description

• Create clinically informed, interpretable AI and analytics solutions that support commercial activities, medical affairs, clinical research, and enterprise decision-making.

• Convert integrated structured and unstructured data into dependable insights, actionable recommendations, and reusable analytical products.

• Oversee analytics and AI projects focused on next-best-action and field education capabilities.

• Enhance literature intelligence workflows, which include searching, retrieving, synthesizing, evaluating, and validating AI-generated outputs.

• Develop interpretable machine learning, statistical, and generative AI solutions utilizing clinical, laboratory, commercial, and enterprise data.

• Construct reproducible workflows and reusable components that transition from research prototypes to dependable applications and decision-support tools.

• Lead analytics research proposals and collaborations, encompassing cohort definition, analysis planning, modeling, interpretation, and communication of results.

• Collaborate with clinicians, scientists, medical affairs, research teams, and business stakeholders.

• Assist in preparing abstracts, presentations, and research reports while adhering to privacy, security, validation, and documentation practices.

• Contribute to initiatives related to forecasting, Promotion Effectiveness, and Digital Product Impact.

• Conduct exploratory analysis, feature engineering, model development and evaluation, sensitivity testing, and scenario analysis using Python or R and SQL.

• Work closely 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.

• Over 5 years of experience in data science, machine learning, advanced analytics, AI engineering, or a similar role.

• More than 3 years of experience in healthcare, diagnostics, biotechnology, clinical research, life sciences, or another regulated environment.

• Strong hands-on expertise in Python or R, SQL, and Git-based development workflows.

• Experience in 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 that includes data lineage, methods, assumptions, testing, validation, and model limitations.

• Excellent written and verbal communication skills with the ability to collaborate effectively 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 transitioning 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 contemporary 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.