Senior Data Scientist (AI-assisted Clinical Development)

Join Genentech’s Innovation Accelerator team to build and deploy AI/ML-powered digital solutions that aim to improve how medicines are developed. This onsite role in Boston, MA pairs data science with product, engineering, and UX partners to design, test, and scale statistical and decision-support capabilities in regulated healthcare environments.

Responsibilities

• Apply advanced statistical and machine learning methods to support tools and software products for evidence generation, trial design, and decision support across R&D initiatives
• Serve as a subject matter expert for simulation studies and comparative evaluations of analytical approaches across clinical and operational scenarios
• Collaborate with domain experts to translate scientific questions into data science workflows, identifying opportunities to automate and productize workflow patterns
• Build and maintain model development pipelines with traceability, performance monitoring, and reproducibility
• Work with engineering and product teams to integrate models and algorithms into production applications
• Help design compliant and interpretable ML product architectures for clinical development settings
• Create documentation templates that communicate modeling decisions, trade-offs, and performance summaries to cross-functional stakeholders
• Contribute to internal knowledge sharing, peer reviews, and community learning within the data science function

Requirements

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field
• 3+ years of experience applying machine learning and statistical modeling to data-centric problems in research or product environments
• Proficiency in Python or R, including experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
• Experience with experimental design, simulation, and evaluation of model performance
• Ability to translate scientific or business questions into model architectures and data pipelines
• Practical experience with version control, testing frameworks, and collaborative software development
• Experience with one or more: RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable ML
• Strong attention to detail and the ability to manage and prioritize multiple projects, balancing long-term and short-term initiatives
• Excellent collaboration skills, including statistical consulting, interpersonal communication, and the ability to influence partners without authority
• Capacity for independent thinking and decision-making based on sound principles
• Strategic agility with problem-solving and critical thinking skills
• Respect for cultural differences in a global workplace
• Excellent verbal and written communication, including presentation and writing to explain complex technical concepts clearly

Preferred

• Experience contributing to ML product pipelines and deployment workflows
• Experience building evidence synthesis models (for example, network meta-analysis) or constructing data-driven priors for drug development
• Experience with Bayesian computing or probabilistic programming languages (PPLs), including Stan, PyMC, brms, or others
• Experience with collaborative coding practices and modern version control (for example, git, CI/CD)
• Experience with generative AI tooling for software development (for example, agentic coding, spec-driven development, AI code reviews)
• Experience developing agentic AI tooling for data analysis or processes relevant to the pharmaceutical industry
• Knowledge of compliance-related standards such as GxP and HIPAA
• Publication or public presentation experience in applied statistics or machine learning
• Experience working in agile, cross-functional teams with scientific or product stakeholders

Tech Stack

Python, R, scikit-learn, XGBoost, TensorFlow, PyTorch, Stan, PyMC, brms

Salary: USD 142,700 - 264,900 per year. Location: Boston, MA (onsite). Relocation Assistance: not available.