Breaking into Healthcare Data Roles

๐—›๐—ผ๐˜„ ๐—ฑ๐—ผ ๐—œ ๐—ฏ๐—ฟ๐—ฒ๐—ฎ๐—ธ ๐—ถ๐—ป๐˜๐—ผ ๐—ต๐—ฒ๐—ฎ๐—น๐˜๐—ต๐—ฐ๐—ฎ๐—ฟ๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฟ๐—ผ๐—น๐—ฒ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ฎ ๐—ด๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐—น๐—ถ๐˜€๐˜ ๐—ฏ๐—ฎ๐—ฐ๐—ธ๐—ด๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ? Soon-to-be graduates and early-career professionals have asked me this recently. Some thoughts:

๐——๐—ฒ๐—ฐ๐—ถ๐—ฑ๐—ฒ ๐˜„๐—ต๐—ฎ๐˜ ๐—ฎ๐˜€๐—ฝ๐—ฒ๐—ฐ๐˜๐˜€ ๐—ผ๐—ณ ๐—ต๐—ฒ๐—ฎ๐—น๐˜๐—ต๐—ฐ๐—ฎ๐—ฟ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ฟ๐—ฒ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜. If youโ€™re drawn to the mission (say, helping patients find high-quality doctors) but donโ€™t care to work hands-on with clinical data, there are analytics, product, and engineering roles that donโ€™t require a healthcare or clinical background. Iโ€™ve seen people move into these roles at every level, including senior leadership, as long as they have strong technical and transferable skills.

๐—–๐—ฒ๐—ฟ๐˜๐—ฎ๐—ถ๐—ป ๐—ฟ๐—ผ๐—น๐—ฒ๐˜€ ๐—ฟ๐—ฒ๐—พ๐˜‚๐—ถ๐—ฟ๐—ฒ ๐˜€๐—ฝ๐—ฒ๐—ฐ๐—ถ๐—ฎ๐—น๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—ธ๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ. Some data science, machine learning, and clinical research roles require a PhD or deep professional experience. If youโ€™re unsure from job descriptions, you can reach out to employees in similar roles. If you have a career path in mind, find someone who started from where you are now and ask about their journey. A short email with 1โ€“3 clear, targeted questions will get a quicker reply than a vague request for a call.

Finally, companies may prefer candidates with industry experience as theyโ€™re often easier to onboard. In one of my first projects at Garner, my familiarity with eligibility systems allowed me to quickly solve design gaps that more technically skilled engineers had found challenging due to a lack of business knowledge.

๐—ฆ๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐˜†๐—ผ๐˜‚ ๐—ด๐—ฒ๐˜ ๐—ฎ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟโ€™๐˜€ ๐—ผ๐—ฟ ๐— ๐—•๐—”? A quantitative MS can help with a major pivot (e.g. switching to data science after a humanities undergraduate degree and work experience in customer service) or securing a work visa.

Beyond that, as a hiring manager, I havenโ€™t found MS candidates to be stronger than those with undergraduate degrees and recent, relevant work experience. MBAs aren’t relevant for technical data roles but can help some people move into product/program/general management or consulting roles where you work with data scientists and engineers without directly managing them. MBAs may also be more helpful for large, established healthcare organizations (e.g. hospital systems and insurance companies) than for tech companies.

๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฟ๐—ฒ๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€. A referral from someone who has worked with you and can vouch for your strengths will go much further than a more casual connection. If you donโ€™t know anyone in healthcare, look for networking opportunities. Attend local mixers and meetups (there are regular events in Austin and NYC), participate in online communities (e.g. Health Tech Nerds is great!) or open-source projects, and volunteer at events. As you learn more about the field and become a regular, youโ€™ll build meaningful relationships and find opportunities.

I hope this helps. Comment with any questions, disagreements, or advice I missed. Good luck!

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