Senior Quantitative Scientist, Implementation
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, advancing the quality of care and quality of life for patients. Our headquarters are in San Francisco, with additional offices in Knoxville, TN and New York City, and remote employees across multiple states. All employees must have permanent residency in one of the following states: AZ, CA, CO, CT, FL, GA, IL, LA, MA, MN, NC, NJ, NV, NY, OH, PA, SC, TN, TX, VA, WA, or WI. We prefer candidates in the Eastern or Central time zones and highly prefer those in the New York metro area for hybrid work.
About the role
As a Senior Quantitative Scientist at Verana Health, you play a pivotal part in revolutionizing how 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 harness data’s full potential—ensuring clinical insights translate into better health outcomes.
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
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. We are unable to provide visa sponsorship or OPT/STEM extension support for this position.
Benefits
- Market-leading medical, dental, and vision insurance plans
- 401(k) match
- Flexible time off programs
- Paid parental leave
- Annual learning and wellness stipend
Pay
Salary Range: $141,441 - $176,801 (A geographic premium may be applied to base salary).