Sr. Clinical Data Scientist

Overview of Role:

Summit is seeking a highly motivated Sr. Clinical Data Scientist to join our growing team. This role will be instrumental in advancing our technology-enabled and data-driven clinical data review and study monitoring strategy through automation, analytics, and cross-functional data support.

The ideal candidate will be proficient in R and/or Python and apply these skills across clinical data domains to enhance processes, increase efficiency, and elevate data quality. A strong focus on workflow optimization, coupled with a passion for implementing technical solutions in a fast-paced pharmaceutical environment, will be essential for success.

Role and Responsibilities:

• Develop clinical study reports, dashboards, and data visualizations using R or Python.
• Partner closely with the Data Management team to implement data-monitoring or reconciliation listings and edit checks that support ongoing data review.
• Collaborate with Clinical Operations to generate study metrics and identify potential site-level risks.
• Communicate requirements clearly with vendors, author and curate specs, and ensure the results delivered by vendors.
• Perform data wrangling and data processing in R/Python to support the summarization and interpretation of clinical trial data.
• Build ETL pipelines in a Windows environment to automate clinical data workflows and streamline clinical programming activities.
• Develop and maintain reusable R packages for data cleaning, transformation, and validation.
• Maintain complete, accurate, and audit-ready documentation and specs for all programming activities.

Experience, Education and Specialized Knowledge and Skills:

Required:

• Master’s or Bachelor’s degree in Data Science, Biostatistics, Computer Science, Life Sciences, or a related field
• Minimum 3 years Pharmaceutical/Biotech programming experience.
• Proficiency in R or Python, and experience with data visualization tools (e.g., Shiny, Spotfire, Tableau) and R packages
• Understanding of EDC and clinical trial processes
• Demonstrated ability to collaborate with cross-functional teams and translate non-technical requirements into technical solutions
• The ability to work well under pressure and shift priorities, both as a team leader and as a team member.
• Ability to communicate clearly both oral and written.

Preferred:

• Experience with maintaining data visualization systems
• Experience with Github
• Prior experience in oncology or complex therapeutic areas
• Ability to proactively identify and address project uncertainties to minimize risk.
• Strong problem solving and analytical skills.