Genentech

Genentech

Senior Data Scientist (AI-assisted Clinical Development)

Boston · Senior

Sponsorship not specified$143k-$265kDetected 12 days ago
PythonAlgorithmsCode ReviewGitCI/CDMachine LearningTensorFlowPyTorchscikit-learnData AnalysisData EngineeringData ScienceLLMsAgentic AIStatisticsComplianceHIPAABioinformaticsResearchExperimental DesignCommunicationCollaborationProblem SolvingCritical Thinking

About the role

  • You act as the subject matter expert to inform software products for the conduct of simulation studies and comparative evaluations of analytical approaches for clinical and operational scenarios
  • You contribute to the integration of models and algorithms into production applications, working closely with engineering and product teams
  • You contribute to internal knowledge sharing, peer reviews, and community learning within the data science function

Responsibilities

  • You collaborate with domain experts to translate scientific problems into data science workflows, identifying patterns of workflows that can be automated and productized
  • You build and maintain model development pipelines, ensuring traceability, performance monitoring, and reproducibility
  • You participate in the design of compliant and interpretable ML product architectures for clinical development environments
  • You design documentation templates that communicate modeling decisions, trade-offs, and performance summaries to cross-functional stakeholders
  • The IA Senior 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.
  • With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization.

Requirements

  • You have a Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field
  • You are proficient with Python or R, including experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • You have the ability to translate scientific or business questions into model architectures and data pipelines
  • You have practical experience with version control, testing frameworks, and collaborative software development
  • 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
  • You have experience working with one or more of the following: RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, or interpretable ML
  • Experience contributing to ML product pipelines and deployment workflows
  • Experience with Bayesian computing or probabilistic programming languages (PPLs), including Stan, PyMC, brms, or others
  • Experience with collaborative coding practices and modern version control (e.g., git, CI/CD)

Compensation

  • The expected salary range for this position based on the primary location of Boston, Massachusetts is $142,700 - $264,900 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.
  • Publication or public presentation experience in applied statistics or machine learning

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.