Senior Quantitative Scientist, Implementation, Infrastructure Lead

Summary

Join Verana Health's Data & Science team as a Senior Quantitative Scientist! You will be a hands-on contributor, leveraging your expertise in observational data and analytical methodologies to generate real-world evidence. Lead initiatives to improve infrastructure best practices, influence key investment areas, and collaborate with cross-functional teams. This role requires a Master's or doctorate in a quantitative discipline and 5+ years of relevant experience working with life science organizations. You'll be working with messy data, developing algorithms, and creating statistical analysis plans. The position offers a competitive salary and the opportunity to contribute to impactful research in healthcare.

Requirements

• Master’s or doctorate in a quantitative discipline (e.g., Engineering, Computer Science, Math, Statistics or related field) 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
• Demonstrated ability to influence a team to adopt best-practices and workflows resulting in higher-quality results and faster turnaround times
• Experience executing research studies for life sciences
• Ability to balance key requirements that generate high-quality, reproducible research while enabling a pragmatic approach
• Advanced skills with data analytics tools, such as SQL, Python, Pyspark, AWS, Git, 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
• 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 Data & Science team with a solid grasp of relevant technical approaches (software engineering best practices, healthcare data analytics, programming) and their respective assumptions
• Highly skilled in writing 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 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

Benefits

$150,000 — $175,000 USD