Sr. Quantitative Scientist, Infrastructure Lead (Analytic Solutions)

Reposted 23 Days Ago
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Hiring Remotely in USA
Remote
150K-175K Annually
Senior level
Healthtech • Software
The Role
The Sr. Quantitative Scientist will lead technical infrastructure initiatives, write code for analyses using observational data, and collaborate with life science companies to support research objectives in healthcare.
Summary Generated by Built In
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

Top Skills

AWS
Databricks
Git
Pyspark
Python
SQL
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The Company
HQ: San Francisco, CA
121 Employees
Year Founded: 2018

What We Do

Verana Health is a healthcare technology and analytics company entrusted by key medical associations to manage multi-specialty, real-world data at every stage of the analytics process—from entry to evidence. Anchored in ophthalmology, neurology, and urology, the Company acts as a linchpin in the healthcare data ecosystem, making data meaningful and actionable to empower physicians and accelerate research for patients. By curating and applying advanced analytics to real-world clinical data, Verana Health helps life sciences partners enhance evidence generation, reinvent medical research, and drive innovations in specific disease areas.

Why Work With Us

At Verana Health, we have the opportunity to shape the future of medical research by harnessing the power of comprehensive clinical data sets to generate real-world evidence and answer meaningful questions in medicine. This is a company built by and for people who seek to be part of a mission-driven team committed to improving patient lives.

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