Verana Health

Senior Quantitative Scientist, Implementation

Verana Health$141K — $176K *
US-AnywhereRemote in United States
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Doctorate in Engineering, Computer Science, Math, Statistics, or a related quantitative field, or equivalent hands-on experience
  • 5+ years of direct experience with healthcare datasets (EHR, outcomes, messy/complex data)
  • 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
  • Proven expertise coding and analyzing observational datasets to generate real-world insights
  • Ability to communicate effectively across technical and non-technical teams

Responsibilities

  • Lead the development and implementation of scalable analytic workflows using real-world healthcare data
  • Design and execute high-quality analyses for commercial life science projects
  • Establish best practices for code review and reproducibility
  • Act as a technical advisor on process and infrastructure investments
  • Drive commercial retrospective studies using EHR data and statistical analysis planning
  • Collaborate across teams to translate clinical questions into analytic approaches
  • Present findings to support decision-making and innovations

Benefits

  • Flexible working environment with remote opportunities
  • Commitment to diverse perspectives and backgrounds in the workplace
  • Emphasis on continuous learning and improvement
  • Collaboration across multiple functions to enhance impact
  • Support for innovative approaches in medical and commercial data analysis
Full Job Description
Job Title: Senior Quantitative Scientist, Implementation
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:
  • 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


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

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

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

National Pay Range

$141,441-$176,801 USD

About Verana Health

Verana Health is a healthcare technology company that uses real-world data to accelerate research and improve patient outcomes. The company's platform aggregates and analyzes clinical data from a variety of sources, including electronic health records, medical claims, and medical devices. Verana Health was founded in 2017 and is headquartered in San Francisco, California. The company's mission is to transform healthcare by unlocking the power of data.
Learn more about Verana Health
Size
50 employees
Industry
Founded
2017

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