Skills this job asks for
StatisticsSQLPythonSparkMental healthPatient care
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Where you can work from
United States only
Based on the listing's location: San Francisco, CA or Remote (U.S.).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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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 doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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. The pay stated here ($110,000 - $150,000) is below what this employer usually pays sponsored hires for this role. 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.
About the role
This role can be filled in our San Francisco headquarters OR remotely in the 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.
As a Data Scientist, you'll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare.
Here's How You Will Make an Impact
• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Play a key role in creating both product and client-facing analytics.
• Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.
• Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.
About you
• At least 2 years of professional experience as a data analyst or a data scientist.
• Knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory.
• Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
• Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
• Proficient in using Python data analysis libraries such as Pandas and Numpy. Also has a basic understanding of the object-oriented programming concepts as it relates to Python.
• Prior exposure to distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
• Fast learner; curiosity about and passion for data.
Compensation
The anticipated total compensation for this role is $110,000 - $150,000, 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 y
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