Senior Quantitative Scientist, Commercial-Facing
New
V
Verana HealthHealthcare, life science
Employees work remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, UT , VA, WA, Washington, D.C. All employees are required to have permanent residency in one of these states.Full-TimeSenior
Salary150,000 - 175,000 USD per year
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Job Details
- Experience
- 5+ years of hands-on experience
- Required Skills
- PythonSQLR
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
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