Principal ADS Program Lead

About the role

The Analytical Data Science Program Lead is a senior leader within Roche's Analytical Data Science function, which sits inside Product Development Data Sciences (PDD). The role guides both technical strategy and operational execution across several clinical programs or an entire therapeutic area, leading a team of programmers and junior leaders. It covers exploratory analyses, application development and dynamic visualisation, and integrates deliverables from partners such as Data Management into the reporting pipeline.

Key responsibilities

• Define and drive programming and analytical strategy across one or more clinical studies, aligned with clinical and regulatory objectives and accountable to the therapeutic area lead.
• Ensure compliance and inspection readiness through quality review processes, thorough documentation and proactive risk management for internal audits and health authority inspections.
• Uphold data and programming standards by promoting standardized methodologies, tools and code libraries.
• Lead cross-functional planning and execution of data and analytical deliverables, anticipating risks and mitigating them.
• Act as a subject matter expert and mentor, helping refine standards, tools and processes and sharing knowledge across programs and therapeutic areas.
• Contribute to global or complex initiatives and to innovative approaches such as automation or new delivery models.
• Collaborate with Biostatistics, Data Management and Early Development Biometrics to align analytical strategies with the drug development lifecycle.

Required profile

• Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, Biomedical Informatics or a related field.
• At least 6 years of experience in pharmaceutical R&D or a regulated environment, with significant exposure to clinical development.
• Demonstrated leadership of molecule-level analytical strategy or delivery across multiple studies.
• Experience in vendor oversight and in matrixed, cross-functional global teams.
• Proven ability to manage complex timelines, collaborate across functions and communicate analytical strategies.

Required skills

• Statistical programming (e.g. R, SAS)
• QC practices and regulatory data standards (e.g. CDISC, ADaM, SDTM)
• Preferred: experience leading submission activities or global programs, deep knowledge of the drug development lifecycle, and relocation benefits are not available for this posting.

Expected salary range for the primary location of Massachusetts is $136,400 - $253,200, depending on experience, qualifications and location; a discretionary annual bonus may be available. Relocation benefits are not available for this posting.