Senior Quantitative Scientist, Implementation

Verana Health

. Lead hands-on development and implementation of robust, scalable analytic workflows using real-world, messy healthcare data .

Posted 9/18/2026full-timeNew York City • Arizona • United StatesSenior💰 $141,441 - $176,801 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing scalable analytic workflows using healthcare data, with a strong focus on statistical analysis and algorithm development. Proven ability to communicate complex findings effectively to diverse teams while adhering to best practices in code review and documentation.

Highest-signal resume keywords

Expertise In RExpertise In PythonAdvanced Analytical MethodologiesHealthcare Datasets ExperienceLeadership In Analytic Workflow Optimization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical AnalysisAlgorithm DevelopmentData AnalysisAnalytic Workflow DesignCode Review Best Practices

Soft Skills

Effective CommunicationCollaboration Across TeamsPragmatic Problem Solving

Tools & Technologies

AWSDatabricksGitHubPySpark

Certifications & Qualifications

Master’s DegreeDoctorate Degree

Industry Keywords

Life SciencesPharmaceuticalBiotechEHR DataReal-World Evidence

Tech Stack

Tools & technologies

AWSCloudPySparkPython

About the role

Key responsibilities & impact

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
Establish best practices in code review, version control, reproducibility, GitHub, analytic workflows, and documentation
Advise on the business impact of investments in scalable processes and infrastructure
Drive and execute commercial retrospective studies using EHR 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
Contribute to a culture of learning and scientific rigor while improving methodological standards

Requirements

What you’ll need

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
Must be legally authorized to work in the United States
Must have permanent residency in one of the listed eligible states
Visa sponsorship and OPT/STEM extension support are unavailable

Benefits

Comp & perks

Market-leading medical, dental, and vision insurance plans
401(k) match
Flexible time off programs
Paid parental leave
Annual learning and wellness stipend
Remote-friendly work arrangements
Hybrid work schedule for employees near New York, San Francisco, or Knoxville offices