Senior Quantitative Scientist, Commercial-Facing

Verana Health•San Francisco, CA

49d•$141,441 - $212,161•Hybrid

About The Position

Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network. We are driven to create quality real-world data in ophthalmology, neurology, urology, and oncology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. The company has headquarters in San Francisco and additional offices in Knoxville, TN and New York City, with employees working remotely in various states. Candidates must have permanent residency in one of the specified states and are encouraged to apply if willing to relocate. Priority consideration will be given to candidates based in the Bay Area, New York City, and Knoxville, Tennessee. For these locations, the position will follow a hybrid work model, with 3 days per week in office and the remaining days working from home. Applicants must be authorized to work for any employer in the U.S. and Verana Health is unable to sponsor or take over sponsorship of an employment Visa at this time. You will report into the Data & Science department and work with not only the Data & Science team but also our commercial services group, medical advisors, and the business development team. As Verana Health reinvents how research happens with data and technology in the healthcare space, we are 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. Direct experience working with ophthalmology, urology, and/or oncology clinical data is considered a plus. As a Senior Quantitative Scientist working with our Life Science customer, you will help drive insights and consultative support on data products directly accessed by commercial partners. 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 to in the most efficient, data-driven way possible.

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 Haves

Direct experience working with ophthalmology, urology, and/or oncology clinical data is considered a plus.

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