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San Francisco, California, United States
Remote only
Location: Remote within the United States
About Doximity
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.
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
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.
At least 4 years of professional experience as a data analyst or a data scientist.
Advanced knowledge of statistical concepts, especially exploratory data analysis techniques, and probability theory. Some exposure to machine learning methods (regressors, classifiers, etc.).
Advanced SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
Proficient in Python and well versed in object-oriented programming concepts as it relates to data and Python.
Proficient in distributed data processing concepts and execution (e.g., working with column stores, leveraging spark, etc.)
Excellent visualization and storytelling skills to explain your results and solutions to the stakeholders, clearly and compellingly.
Fast learner; curiosity about and passion for data
The anticipated total compensation for this role is $130,00 - $190,000, depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
Specific compensation details will be discussed during the interview process.
In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:
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.
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.
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.