Staff Applied AI Engineer
Job Overview
Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients.
As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do.
Job Description
We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's core values is stretching ourselves.
Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! Visa sponsorship is not available for this role.
About Us Here are some of the ways we bring value to doctors Here is an introduction to our tech stack We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.
) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects We have worked as a distributed team for a long time; we're currently about 65% distributed Find out more information on the Doximity engineering blog Our company core values Our recruiting process Our product development cycle Our on-boarding & mentorship process Here's How You Will Make an Impact Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for 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.
Key Responsibilities
- As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do.
- We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
- About Us Here are some of the ways we bring value to doctors Here is an introduction to our tech stack We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects We have worked as a distributed team for a long time; we're currently about 65% distributed Find out more information on the Doximity engineering blog Our company core values Our recruiting process Our product development cycle Our on-boarding & mentorship process Here's How You Will Make an Impact Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform.
- Inform data team strategy by working with the product leaders and managers.
- Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.
- More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees.
- Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more!
- Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits.
Required Skills and Qualifications
- Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!
- About you At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.
- Advanced knowledge of statistical concepts - particularly exploratory data analysis, experimental design, and probability theory.
- 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 modern data science libraries.
- Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.
- Within the range, individual pay is determined by factors including relevant skills, experience, and education/training.
Benefits and Perks
- Compensation The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity).
- Please note that the compensation listed does not include benefits.
- More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees.
- Some of our offerings include: Medical, dental, vision offerings for you and your family 401k with matching program Employee stock purchase plan Family planning support, Childcare FSA, and parental leave Life, AD&D, and Disability Generous time off, holidays and paid company trips Wellness benefits…plus many more!
- We believe that when doctors are connected, the healthcare system works better and patients benefit.
USA Jobs Today role summary
Role Summary
Staff Applied AI Engineer at Doximity is a remote United States position and is listed as Full Time.
Join our mission to help every physician be more productive and provide better care for their patients.
Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.
Application Checklist
- Review the stated qualifications, including: About you At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets. Advanced knowledge of statistical concepts - particularly exploratory data analysis, experimental design, and probability theory.
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
- Tailor your resume to the responsibilities and qualifications stated by Doximity.
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Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
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