Verana Health is looking to solve complex real-world problems across multiple therapeutic areas, including urology and ophthalmology, by developing scalable, reproducible research and applying real-world data across the clinical development cycle.
Requirements
- Advanced skills with data analytics tools, such as SQL, Python, Pyspark, AWS, Git, and Databricks
- Expert in cloud-based architecture and software development and programming principles
- Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
- 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 completing research studies for life sciences
- Experience with GitHub, coding requirements, and analytic workflows
Responsibilities
- Be a hands-on individual contributor on the Data & Science team with a solid grasp of relevant technical approaches (software engineering best practices, healthcare data analytics, programming) and their respective assumptions
- Experience writing readable code for analyses using observational data to create real-world evidence
- Be the technical lead in driving plans fundamental to the team's infrastructure best practices, including GitHub, coding requirements, and analytic workflows
- Work experience on commercial retrospective clinical studies using EHR real-world data through responsibilities such as creation of statistical analysis plans, implementation of analyses, development of algorithms to support research objectives, and/or writing of publications
- Collaborate with teams (e.g., Commercial/Sales, Product, Medical, Engineering/Technology) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects
- Influence what important areas to invest in that promote scalable technical processes by framing the business impact
- Balance important requirements that produce high-quality, reproducible research while promoting a pragmatic approach
Other
- Master's or doctorate in a quantitative discipline (e.g., Engineering, Computer Science, Math, Statistics or related field) or equivalent practical experience
- Demonstrated ability to influence a team to adopt best-practices and workflows resulting in higher-quality results and faster turnaround times
- Work with cross-functional teams
- Deliver internal/external presentations
