Sr. Quantitative Scientist, Infrastructure Lead (Analytic Solutions)

Senior Quantitative Scientist, Infrastructure Lead (Analytic Solutions)

Empower Innovation at the Intersection of Data and Healthcare

Join Verana Health’s mission-driven team, where you’ll transform how research and patient care advance by leveraging real-world data to tackle complex health challenges. As a Senior Quantitative Scientist, you’ll collaborate with passionate experts, harness cutting-edge technology, and shape the future of therapeutics—including driving insights for urology and ophthalmology. Our environment thrives on learning, rigorous science, and collaboration, providing you with the resources and support to make your mark in digital health innovation.

This is a remote role. You will report to the Sr. Director, Data and Science (Analytic Solutions).

Why This Role Matters

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.

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

• Proven expertise coding and analyzing observational datasets to generate real-world insights

• Demonstrated leadership in technical and analytic workflow optimization

• 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

• Commitment to ongoing professional development and team-driven knowledge sharing

Essential 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

• Strong track record supporting life sciences, pharmaceutical, or biotech organizations with impactful analytic services

• Expertise in SQL, Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows

• Familiarity with clinical coding systems (ICD, CPT, RxNorm)

• Direct experience completing real-world research and driving projects from planning through publication preferred

• Experience with cross-functional teams and top-tier presentation skills

• Prior experience in ophthalmology or urology clinical data

Pay ranges may vary for market conditions, location, and experience.

National Pay Range
$150,000—$175,000 USD