Careers at Doximity

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. 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. 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 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. Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT). Proven ability to design, train, and evaluate large-scale 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 modern data science libraries. Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders. Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research. Compensation The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. 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! More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. 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. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page , company blog , and engineering blog . We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com . ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Senior Data Scientist 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. 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 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 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 Compensation 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: 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.

Senior Data Scientist 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. 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 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 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 Compensation 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: 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.

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. About the Role Foremost a software engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. You are experienced in creating automated testing, applying design patterns, and other engineering best practices. You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each. Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout. Experience with aychronous systems. You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems. Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work. Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply. ML/AI–aware. You have working knowledge of how ML/AI applications are deployed and monitored, and you’re motivated to use this awareness to advance data-driven initiatives. Location : This role is remote in the United States, Canada, or some countries in South America. Here's How You Will Make an Impact Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights. Understand product requirements and translate them into actionable project plans that you or your peers execute upon. Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org. About Us Explore our stack We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, 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 Compensation The anticipated total compensation for this role is $165,000 - $221,000, 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.

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. About the Role Foremost a software engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. You are experienced in creating automated testing, applying design patterns, and other engineering best practices. You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each. Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout. Experience with aychronous systems. You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems. Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work. Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply. ML/AI–aware. You have working knowledge of how ML/AI applications are deployed and monitored, and you’re motivated to use this awareness to advance data-driven initiatives. Location : This role is remote in the United States, Canada, or some countries in South America. Here's How You Will Make an Impact Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights. Understand product requirements and translate them into actionable project plans that you or your peers execute upon. Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org. About Us Explore our stack We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, 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 Compensation The anticipated total compensation for this role is $165,000 - $221,000, 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.

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. 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. 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 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. Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT). Proven ability to design, train, and evaluate large-scale 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 modern data science libraries. Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders. Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research. Compensation The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. 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! More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. 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. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page , company blog , and engineering blog . We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com . ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.