Sr. Quantitative Scientist, Implementation, Infrastructure Lead (Analytic Solutions)

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Verana Health is reinventing how research happens with data and technology in the healthcare space. We are growing our Data & Science team to solve complex real-world problems across multiple therapeutic areas, including urology and ophthalmology. We are looking for a Senior Quantitative Scientist with experience in supporting a technical infrastructure that enables scalable, reproducible research and developing code for life science companies in support of commercial projects leveraging real-world data across the clinical development cycle. Direct experience working with ophthalmology and/or urology clinical data is considered a plus. This role will be embedded within Analytic Solutions, which resides in the Data & Science department. This group helps to drive Verana’s analytic services offering, which includes insight generation 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., Engineering, Computer Science, Math, Statistics or related field) or equivalent.
• Solid grasp of relevant technical approaches (software engineering best practices, healthcare data analytics, programming).
• Experience with observational data is required.
• Experience working with life science companies is a plus.
• Direct experience working with ophthalmology and/or urology clinical data is considered a plus.

Responsibilities

• Be a hands-on individual contributor on the Data & Science team.
• Write readable code for analyses leveraging observational data to generate real-world evidence.
• Serve as the technical lead in driving initiatives fundamental to the team’s infrastructure best practices, including GitHub, coding requirements, and analytic workflows.
• Influence what key areas to invest in that enable scalable technical processes by framing the business impact.
• Work experience on commercial retrospective clinical studies leveraging EHR real-world data, including:
  • Creation of statistical analysis plans.
  • Implementation of analyses.
  • Development of algorithms in support of research objectives.
  • 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.