Senior Quantitative Scientist, Implementation
Verana Health•San Francisco, CA
•$141,441 - $176,801•Hybrid
About The Position
As a Senior Quantitative Scientist at Verana Health, you play a pivotal part in revolutionizing the way life science companies utilize data for clinical development and commercial impact. Your expertise will fuel scalable, reproducible research that drives increased efficiency and innovation. The Data & Science team’s work directly improves quality of care for patients, and your technical leadership will help us harness data’s full potential—ensuring clinical insights translate into better health outcomes.
Requirements
- Master’s or Doctorate in Engineering, Computer Science, Math, Statistics, or related quantitative field, or equivalent hands-on experience
- 5+ years of direct experience with healthcare datasets (EHR, outcomes, messy/complex data) and advanced analytical methodologies
- Expertise in R, Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows
- Demonstrated leadership in technical and analytic workflow optimization
- Strong track record supporting life sciences, pharmaceutical, or biotech organizations with impactful analytic services
- Proven expertise coding and analyzing observational datasets to generate real-world insights
- Depth of experience communicating findings across technical and non-technical teams
- Ability to balance scientific rigor with pragmatic approaches in a fast-paced, commercial environment
- Candidates must be legally authorized to work in the United States.
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Nice To Haves
- Candidates who are willing to relocate are also encouraged to apply.
- We prefer candidates who live in the Eastern or Central time zones to allow for easy collaboration and highly prefer those who are in the New York metro and can work on a hybrid schedule.
- While we are remote friendly, we have a preference for candidates within close commuting proximity to our Bay Area or NYC office hubs.
Responsibilities
- Lead hands-on development and implementation of robust, scalable analytic workflows using real-world, messy healthcare data
- Design, code, and execute high-quality analyses that power real-world evidence for commercial life science projects
- Serve as the technical authority establishing best practices in code review, version control, and reproducibility (GitHub, analytic workflows, documentation)
- Act as a technical advisor, framing the business impact of investments in scalable processes and infrastructure
- Drive and execute commercial retrospective studies using electronic health records (EHR) data, including statistical analysis planning and algorithm development
- Collaborate cross-functionally (Commercial, Product, Medical, Engineering) to translate clinical questions into actionable analytic approaches
- Present and communicate findings to internal and external partners, supporting decision-making and innovation
- Contribute to a culture of learning and scientific rigor, continuously improving methodological standards
Benefits
- Market-leading medical, dental, and vision insurance plans
- 401(k) match
- Flexible time off programs
- Paid parental leave
- Annual learning and wellness stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
