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Verana Health

Provides regulatory-grade clinical data for research

Senior Quantitative Scientist - Implementation

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A Master’s or Doctorate in Engineering, Computer Science, Mathematics, or Statistics, or equivalent hands-on experience.
  • At least 5 years of direct experience with healthcare datasets, including electronic health records, outcomes, messy or complex data, and advanced analytical methodologies.
  • Expertise in R, Python, PySpark, cloud environments such as AWS, Databricks, and Git-based workflows.
  • Demonstrated leadership in technical and analytic workflow optimization.
  • A strong track record supporting life sciences, pharmaceutical, or biotech organizations with impactful analytic services.
  • Expertise coding and analyzing observational datasets to generate real-world insights.
  • Experience communicating findings across technical and non-technical teams.
  • Ability to balance scientific rigor with pragmatic approaches in a fast-paced commercial environment.

Responsibilities

  • Lead hands-on development and implementation of robust, scalable analytic workflows using real-world healthcare data.
  • Design, code, and execute analyses that support real-world evidence for commercial life science projects.
  • Establish best practices in code review, version control, and reproducibility, including GitHub, analytic workflows, and documentation.
  • Advise on the business impact of investments in scalable processes and infrastructure.
  • Drive and execute commercial retrospective studies using electronic health records data, including statistical analysis planning and algorithm development.
  • Collaborate with Commercial, Product, Medical, and Engineering teams to translate clinical questions into actionable analytic approaches.
  • Present and communicate findings to internal and external partners to support decision-making and innovation.
  • Contribute to continuous improvement of methodological standards and scientific rigor.

About the Company

Verana Health

Provides regulatory-grade clinical data for research

Verana Health builds and analyzes large-scale clinical databases by partnering with medical associations to create regulatory-grade data platforms. These platforms collect and harmonize real-world clinical data to generate medical evidence and actionable insights for physicians and life science companies. The company’s products work by aggregating regulated clinical data, applying big data analytics and AI to derive insights that help identify trial patients, accelerate research, and deepen understanding of the patient experience. Unlike competitors, Verana Health emphasizes collaboration with medical associations to produce regulatory-grade datasets and insights tailored for both providers and life sciences clients. Its goal is to improve patient outcomes and speed up evidence generation by providing reliable data-driven insights through governance-enabled data platforms.

Company size
51-200
Company stage
Series E
Total funding
$288.8M
Headquarters
San Francisco, CA
Founded
2018

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