Roche
Position
Analytical Data Science Lead
at Roche
Base Pay Range $152,300.00/yr - $282,800.00/yr
Company Overview 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.
Role Summary 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.
The Analytical Data Science Lead serves as a senior leader within the Analytical Data Science function, responsible for guiding both the technical strategy and operational execution across multiple clinical programs or an entire therapeutic area. This role leads a team of highly skilled programmers and junior leaders, ensuring the delivery of high‑quality, regulatory‑compliant analytical outputs that support key development milestones and health authority submissions. In addition to overseeing day‑to‑day delivery, the Analytical Data Science Lead is accountable for a broad range of analytical outputs including but not limited to exploratory analyses, application development and dynamic visualization to enable ongoing data review and scientific insights generation. The Analytical Data Science Lead also oversees deliverables originating from cross‑functional partners, such as Data Management, ensuring seamless integration into the reporting pipeline.
The Analytical Data Science Lead sets priorities, allocates resources, and ensures the scalability and sustainability of programming operations through standardization, automation, and innovation, while providing business context to guide decision‑making with evolving portfolio needs. The Analytical Data Science Lead plays a pivotal role in cross‑functional planning and governance, acting as a strategic partner to stakeholders across PDD. As a people leader, the Analytical Data Science Lead is accountable for building and developing talent, fostering a culture of technical excellence, and ensuring alignment with both functional and enterprise‑wide data strategy.
Responsibilities
Oversight of programming and analytical strategy across multiple molecules or an entire disease area, ensuring alignment with clinical, regulatory, and enterprise data goals.
Lead cross‑functional planning and execution of data deliverables, ensuring quality, consistency, and timeliness across programs, accountable to the TA leads.
Represent the data science function in high‑level internal forums and global regulatory engagements, contributing to the definition and execution of regulatory strategy.
Resolve complex technical and operational challenges that impact the function’s delivery, quality, or external perception.
Drive the adoption of innovative programming tools, scalable delivery models, and automation approaches to improve functional performance and sustainability.
Manage vendor oversight and coordination of external partners to ensure high‑quality, efficient, and aligned delivery.
Shape the broader Product Development Data Science (PDD) agenda by contributing to cross‑functional governance, strategic planning, and enterprise‑level initiatives.
Manage a team of ADS programmers, including workload allocation, performance management, and ongoing development planning.
Set team strategy and priorities, and execute short‑term planning through effective delegation according to allotted resourcing and budgeting.
Build and sustain a high‑performing team by identifying skill gaps, hiring talent, and fostering a culture of excellence, innovation, and collaboration.
Guide the team through ambiguity, providing direction and support as they navigate complex projects and shifting priorities.
Serve as the primary point of accountability for team performance and delivery, ensuring that portfolio deliverables – submissions, outputs, applications, and more – meet expectations for quality, compliance, and timeliness.
Qualifications
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 therapeutic areas.
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 leading cross‑functional data delivery for complex clinical programs, including regulatory submissions.
Proficiency in programming languages and tools commonly used in clinical data analysis (e.g., SAS, R, Python), with experience implementing scalable, reusable, and automated solutions.
Strong understanding of global regulatory expectations and experience representing programming in interactions with health authorities.
Ability to lead large‑scale initiatives and resolve complex technical challenges with minimal guidance.
Experience contributing to functional innovation, including the adoption of new tools, standards, or delivery models.
Demonstrated respect for cultural differences when interacting with colleagues in the global workforce.
Preferred Qualifications
Experience leading programming strategy for global regulatory submissions, including integrated summaries (IS, 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.
Participation in industry working groups, consortia, or recognized contributions to advancing programming standards or practices.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Analyst and Research
Industries: Biotechnology Research and Pharmaceutical Manufacturing
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at Roche
Base Pay Range $152,300.00/yr - $282,800.00/yr
Company Overview 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.
Role Summary 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.
The Analytical Data Science Lead serves as a senior leader within the Analytical Data Science function, responsible for guiding both the technical strategy and operational execution across multiple clinical programs or an entire therapeutic area. This role leads a team of highly skilled programmers and junior leaders, ensuring the delivery of high‑quality, regulatory‑compliant analytical outputs that support key development milestones and health authority submissions. In addition to overseeing day‑to‑day delivery, the Analytical Data Science Lead is accountable for a broad range of analytical outputs including but not limited to exploratory analyses, application development and dynamic visualization to enable ongoing data review and scientific insights generation. The Analytical Data Science Lead also oversees deliverables originating from cross‑functional partners, such as Data Management, ensuring seamless integration into the reporting pipeline.
The Analytical Data Science Lead sets priorities, allocates resources, and ensures the scalability and sustainability of programming operations through standardization, automation, and innovation, while providing business context to guide decision‑making with evolving portfolio needs. The Analytical Data Science Lead plays a pivotal role in cross‑functional planning and governance, acting as a strategic partner to stakeholders across PDD. As a people leader, the Analytical Data Science Lead is accountable for building and developing talent, fostering a culture of technical excellence, and ensuring alignment with both functional and enterprise‑wide data strategy.
Responsibilities
Oversight of programming and analytical strategy across multiple molecules or an entire disease area, ensuring alignment with clinical, regulatory, and enterprise data goals.
Lead cross‑functional planning and execution of data deliverables, ensuring quality, consistency, and timeliness across programs, accountable to the TA leads.
Represent the data science function in high‑level internal forums and global regulatory engagements, contributing to the definition and execution of regulatory strategy.
Resolve complex technical and operational challenges that impact the function’s delivery, quality, or external perception.
Drive the adoption of innovative programming tools, scalable delivery models, and automation approaches to improve functional performance and sustainability.
Manage vendor oversight and coordination of external partners to ensure high‑quality, efficient, and aligned delivery.
Shape the broader Product Development Data Science (PDD) agenda by contributing to cross‑functional governance, strategic planning, and enterprise‑level initiatives.
Manage a team of ADS programmers, including workload allocation, performance management, and ongoing development planning.
Set team strategy and priorities, and execute short‑term planning through effective delegation according to allotted resourcing and budgeting.
Build and sustain a high‑performing team by identifying skill gaps, hiring talent, and fostering a culture of excellence, innovation, and collaboration.
Guide the team through ambiguity, providing direction and support as they navigate complex projects and shifting priorities.
Serve as the primary point of accountability for team performance and delivery, ensuring that portfolio deliverables – submissions, outputs, applications, and more – meet expectations for quality, compliance, and timeliness.
Qualifications
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 therapeutic areas.
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 leading cross‑functional data delivery for complex clinical programs, including regulatory submissions.
Proficiency in programming languages and tools commonly used in clinical data analysis (e.g., SAS, R, Python), with experience implementing scalable, reusable, and automated solutions.
Strong understanding of global regulatory expectations and experience representing programming in interactions with health authorities.
Ability to lead large‑scale initiatives and resolve complex technical challenges with minimal guidance.
Experience contributing to functional innovation, including the adoption of new tools, standards, or delivery models.
Demonstrated respect for cultural differences when interacting with colleagues in the global workforce.
Preferred Qualifications
Experience leading programming strategy for global regulatory submissions, including integrated summaries (IS, 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.
Participation in industry working groups, consortia, or recognized contributions to advancing programming standards or practices.
Job Details
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Analyst and Research
Industries: Biotechnology Research and Pharmaceutical Manufacturing
#J-18808-Ljbffr