Sr. Quantitative Scientist, Infrastructure Lead (Analytic Solutions)

Verana Health; United States; Remote; USD 150,000 - 175,000; Full time

Job summary

A healthcare analytics company is seeking a Senior Quantitative Scientist to lead the development of scalable analytic workflows using real-world healthcare data. This role focuses on collaborating across teams to improve patient care and drive impactful insights for life science companies. The ideal candidate will have 5+ years of experience with healthcare datasets and relevant analytical skills. This position is remote and comes with a competitive salary range of $150,000 - $175,000 USD.

Qualifications

• 5+ years of direct experience with healthcare datasets and advanced analytical methodologies.
• Strong track record supporting life sciences, pharmaceutical, or biotech organizations.

Responsibilities

• Lead development and implementation of analytic workflows using healthcare data.
• Design and execute analyses for commercial life science projects.
• Present findings to support decision-making and innovation.

Skills

Coding and analyzing observational datasets

Leadership in technical workflow optimization

Communicating findings across teams

Scientific rigor in a commercial environment

Professional development and knowledge sharing

Expertise in SQL

Expertise in Python

Expertise in PySpark

Experience with cloud environments (AWS)

Experience with Git-based workflows

Education

Master’s or Doctorate in a quantitative field

Tools

Databricks

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

Job description

Overview

Senior Quantitative Scientist, Infrastructure Lead (Analytic Solutions) – Remote. Report to the Sr. Director, Data and Science (Analytic Solutions).

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. This role focuses on driving insights for urology and ophthalmology and shaping the future of therapeutics through scalable, rigorous analytics in a collaborative, learning-oriented environment.

Why This Role Matters

As a Senior Quantitative Scientist, you will help revolutionize how life science companies utilize data for clinical development and commercial impact. You will contribute to scalable, reproducible research that drives efficiency and innovation, improving quality of care for patients and translating clinical insights 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
• 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.

Compensation

National Pay Range

$150,000 - $175,000 USD

EEO and Compliance

As set forth in Verana Health’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Voluntary Self-Identification and related disclosures are requested as part of federal contractor requirements. Providing this information is voluntary and will not affect your candidacy.