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Genentech

Biotech firm creating medicines via R&D

Analytical Data Science Lead

Data ScienceConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • An advanced degree (Master’s or PhD) in Statistics, Biostatistics, Computer Science, Life Sciences, or a related quantitative field is required.
  • At least 12 years of experience in statistical and analytical programming within clinical development, with demonstrated impact across multiple programs or regulatory submissions.
  • Deep expertise in clinical trial data standards, including CDISC SDTM and ADaM, and regulatory submission requirements and end-to-end data workflows.
  • Advanced proficiency in R, including developing custom workflows and tools, and proficiency in SAS or Python.
  • Proven experience leading direct reports in a global, matrixed, or remote environment, including driving team adoption of new tools and methodologies.
  • Proven ability to lead impactful AI and digital initiatives and shape broader organizational data strategies.
  • Experience presenting at industry conferences, contributing to publications, or engaging with health authorities.

Responsibilities

  • Guide technical strategy and operational execution across multiple clinical programs or therapeutic areas.
  • Oversee programming and analytical strategy across multiple molecules or disease areas, aligning it with clinical, regulatory, and enterprise data goals.
  • Manage, mentor, and build a high-performing global team, fostering technical excellence, continuous growth, and remote collaboration.
  • Drive adoption of advanced R workflows, open-source tools, Python, and scalable automation, and expand modern data science practices across the team.
  • Lead AI initiatives and exploratory visualization tools from problem definition through execution to deliver measurable value for clinical development.
  • Partner strategically with cross-functional stakeholders, including Data Management, and manage external vendor delivery to support seamless pipeline integration.
  • Represent the data science function in global regulatory engagements and contribute to industry conferences or publications to advance programming standards.

Desired Qualifications

  • A proven track record of peer-reviewed publications and industry conference contributions.
  • Experience leading programming strategy for global regulatory submissions, including integrated summaries (ISS/ISE).
  • Familiarity with metadata-driven programming approaches or enterprise-level data standardization.
  • A proven ability to drive functional innovation through automation, process improvement, or adoption of emerging tools.
  • Exposure to real-world data or digital health integration within clinical development.
  • Participation in industry working groups or consortia, or recognized contributions to advancing programming standards or practices.

About the Company

Genentech

Biotech firm creating medicines via R&D

Genentech develops medicines and therapies to address unmet medical needs through extensive biotechnology research and development. Its products include biologic and small-molecule treatments prescribed by healthcare providers and sold through partnerships with suppliers and health systems. It differentiates itself with a large R&D footprint, a vast patent portfolio, and FDA Breakthrough Therapy Designations that accelerate promising therapies. Its goal is to advance medical science and deliver high-quality, effective therapies that improve patient health while supporting the broader medical community.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1976

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