Senior Quantitative Scientist, Implementation

Role overview

The Senior Quantitative Scientist, Implementation will lead the design and delivery of scalable analytical workflows built on complex healthcare and electronic health record data. The role combines hands-on statistical programming, technical leadership, and client-oriented problem solving to produce reproducible real-world evidence for clinical, commercial, and life-science applications.

Responsibilities

- Develop and implement robust, scalable workflows for analyzing messy observational and healthcare datasets. - Lead retrospective studies using electronic health record data, including statistical analysis plans, algorithm development, and interpretation of results. - Establish best practices for code review, version control, documentation, reproducibility, and collaborative analytical work. - Advise teams on the business value of investments in analytical infrastructure, automation, and scalable processes. - Translate clinical and commercial questions into practical analytical approaches in partnership with product, medical, engineering, and commercial stakeholders. - Present findings to technical and non-technical audiences while promoting scientific rigor and continuous improvement.

Requirements

- Master’s degree, doctorate, or equivalent practical experience in engineering, computer science, mathematics, statistics, or a related quantitative discipline. - At least five years working directly with healthcare, outcomes, electronic health record, or similarly complex datasets. - Strong experience with observational data analysis and advanced analytical methods used to generate real-world insights. - Proficiency with R, Python, PySpark, AWS, Databricks, and Git-based development workflows. - Demonstrated ability to improve technical and analytical processes and provide leadership on workflow optimization. - Clear communication skills and the ability to balance methodological rigor with practical delivery in a fast-moving commercial setting.

Benefits and work setup

The position is remote-friendly, with a preference for candidates in Eastern or Central time zones and near established office hubs in the Bay Area or New York City. Applicants must be authorized to work in the United States without visa sponsorship. The benefits package includes medical, dental, and vision coverage, a retirement plan match, flexible time off, paid parental leave, and annual learning and wellness support.