Sr. Quantitative Scientist – Commercial-Facing
| Company | Verana Health |
|---|---|
| Location | Knoxville, TN, USA, San Francisco, CA, USA, New York, NY, USA |
| Salary | $150000 – $175000 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
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
Responsibilities
- 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
- Direct experience working with teams embedded with life science organizations (e.g., HEOR, medical affairs, commercial)
- 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
- Provide technical leadership by leading projects, conducting comprehensive code reviews, and ensuring a deep understanding of code and its implications for data analysis and research objectives
Preferred Qualifications
- Direct experience working with ophthalmology, urology, and/or neurology clinical data is considered a plus