Analytical Data Science Lead (Director) at Genentech | Boston, MA, US | Rezi

Analytical Data Science Lead (Director) at Genentech

Analytical Data Science Lead (Director)

Genentech · Boston, MA, US

1 weeks ago

Analytical Data Science Lead (Director)

Genentech · Boston, MA, US

7 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Analytical Data Science Lead (Director) role.

Rezi rewrites your resume against Genentech's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Analytical Data Science Lead (Director) posting at Genentech — free, in seconds.

About the Role

This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development at Roche. PDD Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions. PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.

Responsibilities

  • Oversee programming and analytical strategy across multiple clinical programs or therapeutic areas.
  • Lead a high-performing team of skilled programmers and leaders to ensure the delivery of regulatory-compliant analytical outputs, exploratory analyses, dynamic visualizations, and AI-driven initiatives.
  • Manage, mentor, and build a high-performing global team, defining your own leadership philosophy to foster technical excellence, continuous growth, and remote collaboration.
  • Drive the adoption of advanced R workflows, open-source tools, Python, and scalable automation, serving as a champion for expanding modern data science practices across the team.
  • Lead high-impact AI initiatives and exploratory visualization tools from problem definition to execution, driving measurable value for clinical development.
  • Act as a strategic partner to cross-functional stakeholders (such as Data Management) and manage external vendor delivery to ensure seamless pipeline integration.
  • Represent the data science function in global regulatory engagements and contribute to industry conferences or publications to advance programming standards.

Requirements

  • Advanced degree (Master’s or PhD) in Statistics, Biostatistics, Computer Science, Life Sciences, or a related quantitative field.
  • 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 (e.g., CDISC SDTM/ADaM).
  • Advanced proficiency in R (developing custom workflows/tools) and SAS or Python.
  • Proven experience leading direct reports in a global, matrixed, or remote environment.
  • Track record of driving team adoption of new tools and methodologies.
  • Proven ability to lead impactful AI/digital initiatives and shape broader organizational data strategies.
  • Strong communication skills with experience presenting at industry conferences, contributing to publications, or engaging with health authorities.
  • Deep expertise in clinical trial data standards (e.g., CDISC SDTM and ADaM), regulatory submission requirements, and end-to-end data workflows.
  • 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.
  • 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.
  • Participated in industry working groups, consortia, or recognized contributions to advancing programming standards or practices.

Skills

  • R
  • SAS
  • Python
  • CDISC SDTM/ADaM
  • AI
  • Data Science
  • Statistical Programming
  • Analytical Programming
  • Automation
  • Digital Health

Location

  • Massachusetts

Work Type

  • Remote
  • Global

Experience Level

  • Senior Leader
  • 12+ years

Education Level

  • Master's Degree
  • PhD

Salary/Compensations

  • $152,300.00 - $282,800.00

Benefits

  • Discretionary annual bonus
  • Benefits detailed at the link provided below

About the Company

  • A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Equal Opportunity

  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.