Quantitative Scientist – Analytic Solutions
| Company | Verana Health |
|---|---|
| Location | Washington, USA, Pennsylvania, USA, California, USA, Washington, DC, USA, Texas, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, Nevada, USA, South Carolina, USA, Georgia, USA, Arizona, USA, Tennessee, USA, Virginia, USA, Minnesota, USA, Colorado, USA, Utah, USA, New York, NY, USA, Massachusetts, USA, North Carolina, USA, Ohio, USA, Louisiana, USA, Illinois, USA |
| Salary | $130000 – $165000 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics, etc.) or equivalent practical experience
- 3+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies
- 1+ years working with life science/pharmaceutical/biotechnology organizations and familiarity with providing analytic services to these groups
- 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 study design and analytic, research, or statistical methodology
- Ability to work effectively with cross-functional teams
- Clear communication skills and ability 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 Data & Science team with a solid grasp of relevant technical approaches (biostatistics, epidemiology, and/or data science) and their respective assumptions
- Work on commercial retrospective clinical studies leveraging real-world data through responsibilities such as input towards protocols and statistical analysis plans, implementation of analyses, and/or writing of publications
- Collaborate cross-functionally with teams (e.g., Commercial, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects
Preferred Qualifications
- Direct experience interfacing with life science companies or working with ophthalmology and/or urology clinical data is considered a plus