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Sr. Statistician, Client Intelligence San Francisco, CA or Remote; U.S

Remote / Online - Candidates ideally in
Santa Ana, Orange County, California, 92701, USA
Listing for: Doximity
Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 151000 - 207000 USD Yearly USD 151000.00 207000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Statistician, Client Intelligence New San Francisco, CA or Remote (U.S.)

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.

This role can be filled in the Northeast (New York, NJ, Philadelphia, Boston), our San Francisco headquarters, OR other remote locations in the U.S.

As a Senior Statistician
, you’ll work within a cross-functional team alongside other analysts, data-scientists, engineers, and commercial stakeholders in generating actionable insights to help improve healthcare.

How you’ll make an impact:
  • Take ownership and evolve our existing program impact measurement capabilities, built in-house and in partnership with third-party experts such as IQVIA.
  • Develop and maintain analytically rigorous program performance benchmarks.
  • Discuss standard and bespoke measurement methodologies with clients during pre-sale and present analysis results to brand marketing team as well as client analytics team
  • Mentor and help Business Analytics Managers with interpreting measurement results, identifying actionable insights and preparing for client discussions leading to increased sale and renewals
  • Serve as statistical consultant and provide guidance to Data-Science team for advanced modeling
  • Help implement and scale survey / market research based measurement capabilities
  • Manage vendor relationships for third party data procurement.
The Core Values of the Client Intelligence team

As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team.

  • Collaboration
    —The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other's growth.
  • Passion for Data
    —You’re going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights.
  • Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success.
  • Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We’re looking for someone who is curious enough about data to go above-and-beyond the task for the true insight.
  • Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals.
About you:
  • 10+ years of professional experience in a quantitative or statistical role (e.g., statistician, biostatistician), within healthcare, pharma, or a related industry.
  • Hands on experience with statistical methodologies and techniques such as test-vs-control study designs, covariate adjustment methods (e.g., ANCOVA), clustering, etc.
  • Strong context into HCP prescription and claims data, including how they're recorded and tracked by data vendors, what they represent, and typical data gaps.
  • Advanced SQL and python proficiency including writing complex queries across multiple tables and familiarity with data science libraries
  • Experience working with third party analytics vendors such as IQVIA, including running independent…
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