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Analytical Data Science Lead; Director

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: F. Hoffmann-La Roche AG
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Information Security & Data Protection, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 152300 - 282800 USD Yearly USD 152300.00 282800.00 YEAR
Job Description & How to Apply Below

Opportunity

The Opportunity Analytical Data Science is a core function within Product Development Data Sciences that provides strategic leadership and scientific rigor across clinical development. Our teams generate data-driven insights, identify opportunities for scale, and implement impactful solutions across our global portfolio.

Strategic Leadership:

Oversee programming and analytical strategy across multiple molecules or disease areas, aligning with clinical, regulatory, and enterprise data goals.

Team & People Leadership:

Manage, mentor, and build a high-performing global team, defining your own leadership philosophy to foster technical excellence, continuous growth, and remote collaboration.

Technical & R

Innovation:

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.

AI & Advanced Analytics:

Lead high-impact AI initiatives and exploratory visualization tools from problem definition to execution, driving measurable value for clinical development.

Cross-Functional & Vendor Oversight:

Act as a strategic partner to cross-functional stakeholders (such as Data Management) and manage external vendor delivery to ensure seamless pipeline integration.

Regulatory & Industry Influence:

Represent the data science function in global regulatory engagements and contribute to industry conferences or publications to advance programming standards.

Who You Are

You are an inspiring technical and people leader who thrives in navigating complexity, fostering innovation, and driving strategic data science functions forward. You have an advanced degree (Master’s or PhD) in Statistics, Biostatistics, Computer Science, Life Sciences, or a related quantitative field.

You have 12+ years of experience in statistical and analytical programming within clinical development, with demonstrated impact across multiple programs or regulatory submissions.

You have deep expertise in clinical trial data standards (e.g., CDISC SDTM/ADaM), along with advanced proficiency in R (developing custom workflows/tools) and SAS or Python.

You have proven experience leading direct reports in a global, matrixed, or remote environment, with a track record of driving team adoption of new tools and methodologies.

You have proven ability to lead impactful AI/digital initiatives and shape broader organizational data strategies.

You have strong communication skills with experience presenting at industry conferences, contributing to publications, or engaging with health authorities.

You bring deep expertise in clinical trial data standards (e.g., CDISC SDTM and ADaM), regulatory submission requirements, and end-to-end data workflows.

Preferred Qualifications

You have a proven track record of peer-reviewed publications and industry conference contributions.

You have experience leading programming strategy for global regulatory submissions, including integrated summaries (ISS/ISE).

You have familiarity with metadata-driven programming approaches or enterprise-level data standardization.

You have a proven ability to drive functional innovation through automation, process improvement, or adoption of emerging tools.

You have exposure to real-world data or digital health integration within clinical development.

You have participated in industry working groups, consortia, or recognized contributions to advancing programming standards or practices.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of Massachusetts is $ - $. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A…

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