Senior Manager, Data Science

About the Role

Senior Manager, Data Science position based in North Chicago, IL (Hybrid: onsite 3 days a week / 2 days remote).

Responsibilities

• Deliver biomarker analysis expertise for clinical studies.
• Ensure accurate extraction of relevant clinical and biomarker data from diverse databases and enable advanced visualization with descriptive statistical analysis.
• Reveal patterns within the data to empower scientists to make informed, real-time decisions during clinical development.
• Develop R and Python programs for extracting ADaM datasets and generating tables, listings, and figures.
• Develop advanced visualizations in Spotfire to reveal data patterns.

Requirements

• MS in statistics, biostatistics, computer science, bioinformatics, biomedical engineering, or a related field.
• 1 year of experience as a data scientist leading data science analysis and advanced visualization.
• 1 year of experience applying R and Python programming concepts and techniques related to drug development.
• Experience exploring and visualizing ADaM datasets in Spotfire.
• Experience providing data science analysis support for Phase I, II, and III clinical trials.
• Experience generating visualization and descriptive statistics with clinical outputs (tables, listings, and figures) using R and Python.
• Experience collaborating with scientists to interpret visualizations and statistical findings, leveraging expertise in biology and clinical trial domains to guide decisions in clinical development.
• Work experience may be gained concurrently.

Pay

Salary Range: $142,347.40 - $208,500.00 per year.

Benefits

• Paid time off (vacation, holidays, sick).
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Eligibility to participate in short-term and long-term incentive programs.