Senior Quantitative Scientist, Implementation

Why Join Us?

We are revolutionizing patient care and clinical research by utilizing physician expertise and artificial intelligence to unlock the true potential of real-world data. With exclusive access to the world's largest patient data sources in oncology, ophthalmology, neurology, and urology, Verana is powering real-world evidence generation. Clinicians utilize these insights to improve the quality of care and quality of life for patients, and life sciences companies rely on the insights to accelerate the development of new therapies.

Verana is backed by industry leaders like Johnson & Johnson Innovation - JJDC, Inc., Novo Growth, GV, Casdin Capital, and Merck Global Health Innovation Fund. Join us to bring innovation at scale and improve patient outcomes!

What You Get To Do

• 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

Skills and Experience that Will Help You Succeed

• 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

Pay Range

$141,441 - $176,801 (A geographic premium may be applied to base salary)