Senior Manager, Clinical Data Scientist

Summit Therapeutics • Menlo Park, CA

69d • $170,000 - $190,000

About The Position

Summit is looking for a highly motivated Sr Manager Principal Clinical Data Scientist to join our growing team. This role will play a critical part in advancing our technology and data driven clinical data review and monitoring strategy through automation analytics and cross functional data support. The ideal candidate will have deep experience in clinical data programming in a biotech industry, an eye for workflow optimization, and a passion for applying technical solutions to improve data quality and operational efficiency.

Requirements

• Masters or Bachelors degree in Data Science, Biostatistics, Computer Science, Life Sciences, or a related field.
• Minimum of 8 years of experience in clinical data programming or clinical data science within a pharmaceutical, biotech, or CRO environment.
• Proficiency in R, SAS, or Python and experience with data visualization tools (e.g., Shiny, Spotfire, Tableau).
• Strong understanding of clinical data standards (e.g., CDISC, SDTM) and clinical trial processes.
• Demonstrated ability to collaborate with cross functional teams and translate non-technical requirements into technical solutions.

Nice To Haves

• Experience with maintaining data visualization systems.
• Experience with Github.
• Familiarity with EDC systems (e.g., Medidata Rave) and other external data sources.
• Prior experience in oncology or complex therapeutic areas.

Responsibilities

• Use programming expertise to gain insight into clinical data.
• Design and implement automation strategies to streamline clinical data programming workflows.
• Develop and maintain reusable code modules and templates for data cleaning, transformation, and validation.
• Support development of advanced edit checks, derived datasets, and statistical outputs to support data review.
• Collaborate closely with Statistical Programming and Biostatistics to ensure data cleaning efforts are aligned with analysis goals and regulatory submission requirements.
• Leverage AI and machine learning tools to enhance data review efficiency and automate tracking of review activities and data quality issues.
• Serve as a design and technical resource to cross functional teams including Clinical Operations, Clinical Development, Biostatistics, and Safety.
• Collaborate with Clinical Data Managers to organize complex data sources and support ongoing reviews and data reconciliations.
• Translate functional review needs into scalable data solutions and tools.
• Design and develop interactive dashboards to visualize key clinical data metrics and workflow statuses.
• Partner with stakeholders to ensure dashboards meet user needs and enable timely informed decision making.
• Monitor dashboard performance, iterate on features, and resolve data integration issues.
• Foster technical growth within the Clinical Data Science team.
• Represent Clinical Data Science in cross functional working groups and process improvement efforts.
• All other duties as assigned.

Benefits

• The total compensation package for this position may include bonus, stock, benefits, and/or other applicable variable compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Master's degree