Genentech

Genentech

Principal Data Scientist (AI-assisted Clinical Development)

Boston · Principal

Sponsorship not specified$169k-$314kDetected 11 days ago
PythonAlgorithmsMachine LearningTensorFlowPyTorchscikit-learnData EngineeringData ScienceLLMsMLOpsStatisticsAgileBusiness DevelopmentBioinformaticsLeadershipCommunicationCollaborationProblem SolvingCritical ThinkingMentoringPublic SpeakingAdaptability

About the role

  • You contribute to scientific leadership by publishing and presenting novel methodologies in high-impact venues, both internal and external
  • You serve as a best-practice resource for statistical modeling strategies, code quality, and responsible AI principles

Responsibilities

  • You independently drive exploratory analysis of complex clinical, biomarker, and operational data to extract insights and develop predictive models
  • You develop scalable, reproducible pipelines for data processing, model training, evaluation, and deployment in regulated environments
  • You optimize model performance, ensure algorithmic fairness, proactively mitigate bias or drift in deployed systems, and develop evaluation approaches for algorithms including generative AI (GenAI) components
  • You co-lead the architectural design of ML and GenAI systems supporting traceability, compliance, and explainability
  • You partner with software engineering, product, UX, and science teams to integrate models into real-world user applications
  • The IA Principal Data Scientist plays a pivotal role in building and deploying AI/ML-powered digital solutions that transform how we develop medicines.
  • You will partner closely with product managers, software engineers, and UX researchers to design, test, and scale statistical capabilities that unlock actionable insights from clinical, operational, and real-world data.
  • It's what drives us to innovate.
  • This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD).
  • As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators.

Requirements

  • You have a Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field
  • You have strong hands-on experience with Python or R, and ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar
  • You have a track record of translating complex domain questions into robust statistical models or ML systems
  • You have demonstrated expertise with RWD, Bayesian methods, decision theory, high-dimensional data, or causal inference
  • You have capacity for independent thinking and ability to make decisions based upon sound principles
  • You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language
  • Experience applying Agile software development practices, ideally for a product embedding statistical algorithms and/or GenAI
  • Experience prototyping and launching innovative data science or AI products
  • Experience deploying ML models in compliant, regulated environments
  • Experience with Bayesian computing or probabilistic programming languages (PPLs), including Stan, PyMC, brms, or others

Compensation

  • The expected salary range for this position based on the primary location of Boston, Massachusetts is $169,100 - $314,000 USD Annual.

Benefits

  • To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.
  • We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma.

Equal opportunity

  • equal opportunity employer.
  • If you have a disability and need an accommodation in relation to the online
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This listing is sourced directly from Genentech's careers page and normalized into a canonical job model.