About the Role
Role details below.
Responsibilities
- Report into the Data & Science department and work with the Data & Science team, commercial services group, medical advisors, and business development team.
- Drive insights and consultative support on data products directly accessed by commercial partners.
- Be a hands-on individual contributor on the Quantitative Sciences team with a solid grasp of relevant technical approaches (biostatistics and/or epidemiology) and their respective assumptions.
- Have a strong familiarity with designing analyses using observational data to ensure robust conclusions can be made.
- Work on commercial retrospective clinical studies leveraging EHR real-world data through responsibilities such as creation of statistical analysis plans, implementation of analyses, development of algorithms in support of research objectives, and/or writing of publications.
- Collaborate with customers to understand project objectives and stakeholder needs.
- Collaborate cross-functionally with teams (e.g., Commercial/Sales, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects.
Requirements
- Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics, etc.) or equivalent practical experience.
- 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies.
- 5+ years working with life science/pharmaceutical/biotechnology organizations and familiarity with providing analytic services to these groups.
- Experience designing and executing research studies for life sciences.
- Strong familiarity with health data analytics tools, especially SQL, Python, R.
- Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm.
- Familiarity with pharmaceutical industry’s strategy and business processes, including clinical trials, new drug introduction and clinical operations.
- Ability to work effectively with cross-functional teams.
- Clear communication skills and able to deliver internal/external presentations.
- Ability to prioritize and manage multiple projects with high attention to detail.
Nice to Have
- Direct experience working with ophthalmology, urology, and/or oncology clinical data is considered a plus.
- Direct experience working with teams embedded with life science organizations (e.g., HEOR, medical a
Work Arrangement
Hybrid