Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship or security clearance.
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Employer is on a government sponsor recordThe US Department of Labor certified 5 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting says it won’t sponsorIts own wording says sponsorship is unavailable.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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What Doximity INC paid sponsored hires in similar roles1 certified filing for “Staff Data Analyst” (Data Scientists) in CA: $168k–$168k, median $168k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 5 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Doximity INC paid sponsored hires in similar roles
- 1 certified filing for “Staff Data Analyst” (Data Scientists) in CA: $168k–$168k, median $168k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Likely skip
The posting states sponsorship is unavailable. Applying is unlikely to lead anywhere if you need sponsorship.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
Location : This role can be filled, preferably, in the Northeast (New York, NJ, Philadelphia, Boston). Open to our San Francisco headquarters, OR other remote locations in the U.S.
Visa sponsorship is not available for 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.
As a Commercial Data Scientist , you’ll work within cross-functional delivery teams alongside other analysts, engineers, and commercial stakeholders in discovering data insights to help improve healthcare.
How you’ll make an impact:
• Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
• Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
• Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates and future projects.
• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Embrace the challenge of a fast-paced environment to exceed client expectations
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:
• At least 4 years of professional experience as a Data Scientist or other related roles working with complex, high-volume, structured and unstructured datasets.
• Prior experience in a data science consulting role at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., where you thrived in a fast-paced environment
• Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.
• Deep understanding of modern machine learning techniques
• Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow.
• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and mod
Apply on company site ↗