Senior Quantitative Scientist, Commercial-Facing

About the Role

Verana Health is reinventing how research happens with data and technology in the healthcare space, working to solve complex real-world problems across multiple therapeutic areas, including urology, ophthalmology, and oncology. We are looking for a Senior Quantitative Scientist with experience interfacing with life science companies in support of commercial projects leveraging real-world data spanning a variety of use cases across the clinical development cycle.

You will report into the Data & Science department and work with the Data & Science team, commercial services group, medical advisors, and the business development team.

Why This Role Matters

As a Senior Quantitative Scientist working with our Life Science customers, you will help drive insights and consultative support on data products directly accessed by commercial partners. You will also be the primary client-facing scientific authority, leading customer calls to align study objectives with key stakeholder needs and ensuring that scientific rigor stays at the center of every partnership.

Built on the values of continuous learning, cross-functional collaboration, and rigorous scientific research, the Data & Science team strives to improve patient care by innovating at the intersection of real world data, clinical context, and methodology with our partners to ensure all available data is being used in the most efficient, data-driven way possible.

What You Get To Do

• 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
• Lead customer calls as the primary client-facing scientific authority to align study objectives with key stakeholder needs
• Direct experience working with teams embedded with life science organizations (e.g., HEOR, medical affairs, commercial)
• Work on commercial retrospective clinical studies leveraging EHR and Claims 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 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

Skills And Experience That Will Help You Succeed

• 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

Pay

$141,441 - $176,801 (A geographic premium may be applied to base salary)