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# Sr. Statistician, Client Intelligence

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/doximity.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 151k–207k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished19 Oct 2026Apply before18 Nov 2026Listing views48Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Doximity is seeking a senior statistician to lead rigorous measurement of healthcare marketing and program impact. The role combines experimental design, claims and prescription-data expertise, advanced SQL/Python analysis, and data-science consulting. This person will develop benchmarks, scale survey and market-research measurement, manage external analytics vendors, and mentor business analytics colleagues. They will also present bespoke methodologies and results directly to clients and commercial stakeholders. The position is suited to an experienced healthcare analytics professional who can translate complex statistical findings into actionable business insights.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe role requires more than 10 years of specialized quantitative experience, deep knowledge of HCP claims and prescription data, and ownership of sophisticated impact-measurement programs. It also requires client-facing statistical leadership, vendor management, and mentorship alongside hands-on technical analysis.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$179,000US market range (per year)$150k–$220k0$242.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses anticipated total compensation of $151,000–$207,000 USD. The annual cadence is inferred from the compensation magnitude, U.S. location, seniority, and standard full-time professional compensation conventions; no explicit pay period is stated. A reasonable estimated U.S. annual market range for a senior healthcare statistician with client-facing analytics responsibilities is $150,000–$220,000 USD.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Statistical modeling](https://jobicy.com/jobs?search_keywords=Statistical%20modeling.md)[Experimental design](https://jobicy.com/jobs?search_keywords=Experimental%20design.md)[Test-control studies](https://jobicy.com/jobs?search_keywords=Test-control%20studies.md)[ANCOVA](https://jobicy.com/jobs?search_keywords=ANCOVA.md)[Healthcare analytics](https://jobicy.com/jobs?search_keywords=Healthcare%20analytics.md)[Claims data analysis](https://jobicy.com/jobs?search_keywords=Claims%20data%20analysis.md)[Prescription data analysis](https://jobicy.com/jobs?search_keywords=Prescription%20data%20analysis.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Clustering](https://jobicy.com/jobs?search_keywords=Clustering.md)[Market research](https://jobicy.com/jobs?search_keywords=Market%20research.md)[Vendor management](https://jobicy.com/jobs?search_keywords=Vendor%20management.md)[Client presentations](https://jobicy.com/jobs?search_keywords=Client%20presentations.md)[Program impact measurement](https://jobicy.com/jobs?search_keywords=Program%20impact%20measurement.md)

Sample interview questionsHow would you design a test-versus-control study to measure the impact of a sponsored healthcare engagement program?I would first define the intervention, target clinician population, outcome metrics, and measurement window. I would construct a comparable control group using appropriate matching or stratification variables, assess pre-period balance, and use methods such as difference-in-differences or ANCOVA to estimate incremental impact while controlling for confounders. I would document assumptions, sensitivity tests, and limitations so stakeholders can interpret the results responsibly.

What are common limitations of HCP prescription and claims data, and how do you account for them?

Common limitations include reporting lags, incomplete payer or channel coverage, attribution uncertainty, provider-identification changes, and differences among vendor methodologies. I address these through data-quality checks, clear cohort definitions, vendor documentation review, triangulation with other sources when available, and transparent communication of coverage gaps and confidence levels.

Describe how you would explain a complex statistical finding to a brand marketing client.

I would begin with the business question and state the conclusion in plain language, such as whether the program produced a measurable incremental change. I would then use a concise visual to show the comparison, quantify the effect and uncertainty, and explain the methodology only to the level needed for the audience. Finally, I would connect the result to practical next steps, such as audience refinement, creative testing, or budget allocation.

How have you used SQL and Python together in an analytics workflow?

I use SQL to join, filter, aggregate, and validate large datasets efficiently in the warehouse. I then use Python for reproducible statistical analysis, feature engineering, modeling, visualization, and automated reporting. I maintain clear version-controlled code, validation checks, and documented metric definitions so results can be audited and reused.

How would you manage an external analytics vendor such as a healthcare data provider?

I would establish clear study objectives, data specifications, timelines, quality criteria, governance requirements, and success measures at the outset. During delivery, I would review methodology, reconcile data definitions, monitor milestones, and challenge results constructively when findings or assumptions are unclear. I would maintain a collaborative relationship while ensuring that vendor outputs meet internal analytical and client-facing standards.

Opportunity details

## About this role.

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 studies, engaging in RFPs and contract discussions, and maintaining relationships.
* Experience applying data science techniques such as clustering and machine learning to sponsored engagement, using Rx and Dx data to measure impact.
* Experience representing yourself externally and leading client conversations around program performance analysis.

Fun Facts About the Client Intelligence team

* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of clinicians and their connections.
* Business decisions at Doximity are driven by our data, analyses, and insights.
* The members of our team bring a diverse set of technical and cultural backgrounds.
* We like to have fun – company outings, team lunches, and other social events!

Compensation

The anticipated total compensation for this role is $151,000 – $207,000, depending on factors such as experience, skills, location, and internal equity. Our total compensation package may include:

* Base salary
* Equity (where applicable)
* Annual bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:

* Medical, dental, and vision insurance
* 401(k) with company match
* Flexible paid time off and company holidays
* Paid parental leave
* Professional development and learning opportunities
* Wellness and mental health resources
* Remote work support and home office stipend (where applicable)

Why You’ll Love Working Here

At Doximity, you’ll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we’re committed to creating an environment where people can do their best work.

* Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
* Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
* Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
* Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
* Bring your authentic self. We’re committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

Show more

[Apply now >](https://jobicy.com/jobs/155870-sr-statistician-client-intelligence.md)

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