Analytical Data Science Lead (Director)

About the role

Roche Genentech is hiring an Analytical Data Science Lead (Director) in Boston. The role sits within Product Development Data Sciences (PDD), which provides strategic leadership and scientific rigor across clinical development. As a senior leader, you will guide both technical strategy and operational execution across several clinical programs or therapeutic areas, leading a team of skilled programmers and leaders to deliver regulatory-compliant analytical outputs, exploratory analyses, dynamic visualizations and AI-driven initiatives.

Key responsibilities

• Oversee programming and analytical strategy across multiple molecules or disease areas, aligned with clinical, regulatory and enterprise data goals.
• Manage, mentor and build a high-performing global team, defining your own leadership philosophy and fostering remote collaboration.
• Drive adoption of advanced R workflows, open-source tools, Python and scalable automation.
• Lead AI initiatives and exploratory visualization tools from problem definition to execution.
• Act as a strategic partner to cross-functional stakeholders such as Data Management and manage external vendor delivery.
• Represent the data science function in global regulatory engagements and contribute to industry conferences or publications.

Required profile

• 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 impact across multiple programs or regulatory submissions.
• Proven experience leading direct reports in a global, matrixed or remote environment.
• Experience leading impactful AI/digital initiatives and shaping organizational data strategies.
• Strong communication skills, including presenting at industry conferences, contributing to publications or engaging with health authorities.

Required skills

• Deep expertise in clinical trial data standards such as CDISC SDTM and ADaM, and regulatory submission requirements.
• Advanced proficiency in R (custom workflows and tools) and SAS or Python.
• Preferred: peer-reviewed publications, experience leading programming strategy for global regulatory submissions (ISS/ISE), familiarity with metadata-driven programming, exposure to real-world data or digital health, and participation in industry working groups.

What we offer

• Expected salary range of $152,300 to $282,800 for the primary location of Massachusetts, depending on experience, qualifications and location; actual pay is determined by the employer.
• A discretionary annual bonus may be available based on individual and company performance.
• The position qualifies for the benefits described in the original listing.
• Relocation benefits are not available for this posting.