Medical Data Analyst Jobs
Medical Data Analyst jobs are open across healthcare systems, health insurance, pharmaceuticals, and academic medical centers, at every level from entry-level to senior and lead, with specializations in clinical analytics, population health, and EHR reporting. Scan the live roles below and apply to whichever ones fit.
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Application Window
Open date: November 12, 2026
Next review date: Friday, Nov 27, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, May 12, 2028 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Public Health and Clinical Data Science, Modeling, and Decision Analysis –
Junior Specialist
Institute for Health Policy Studies
UC San Francisco
Applications are welcome for a NIH-funded Junior Specialist position for a 1-year term. The Junior Specialist will work under the direction of Dr. Reza Yaesoubi at the Philip R. Lee Institute for Health Policy Studies. The successful candidate will have the opportunity to lead projects broadly related to public health and clinical data science, modeling, and decision analysis. This includes, but is not limited to, developing machine learning models to predict the risk of specific health outcomes, developing reinforcement learning models to optimize public health responses to pandemics, and developing cost-effectiveness models to optimize antibiotic selection for the treatment of drug-resistant tuberculosis.
One of the main purposes of this position is to provide hands-on research experience for individuals who are considering pursuing PhD studies. The successful applicant will have the opportunity to serve as lead author on publications arising from this work and to communicate findings through oral presentations at national and international conferences.
Required Qualifications:
- Bachelor degree in data science, statistics, biostatistics, operations research, infectious disease modeling, computational biology, computational ecology, computer science, or related quantitative disciplines.
- Strong background in statistics and probability models.
- Strong programming skills.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000 - $60,700.
Click here to apply with a CV, Cover Letter, and contact information for two references. Applicants must meet the qualifications at the time of application.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Statement of Research (Optional)
Statement of Teaching (Optional)
- 2 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
- “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Medical Data Analyst Jobs by Experience Level
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Find Medical Data Analyst JobsMedical Data Analyst Job Market
Who's Hiring
- Deloitte40

- Capital One36

- Meta25

- JPMorganChase25

- Information Technology Senior Management Forum25
Top Industries Hiring
- Consulting & Professional Services32
- Accounting & Auditing28
- Investment & Asset Management28
- Technology & Software22
- Biotechnology & Pharmaceuticals8
What Employers Look For
The qualifications that appear most often in medical data analyst jobs.
- Proficiency in SQL for querying clinical, claims, or administrative health databases
- Experience with EHR platforms such as Epic, Cerner, or Meditech
- Knowledge of HIPAA regulations and healthcare data privacy requirements
- Proficiency in data visualization tools such as Tableau, Power BI, or similar
- Bachelor's degree in health informatics, biostatistics, public health, or a related field
- Familiarity with ICD-10, CPT, and other medical coding and terminology standards
Tips for Your Medical Data Analyst Job Search
Tailor your resume to EHR platforms
Name the specific electronic health record systems you have used, such as Epic, Cerner, or Meditech, directly in your skills section and work history. Hiring managers filter for platform experience before interviews, so vague references to 'healthcare software' get passed over.
Show your SQL depth with examples
Generic SQL on a resume is not enough. Describe the complexity: multi-table joins on claims data, window functions on patient timelines, or stored procedures for recurring reports. One specific example in a bullet point outperforms a skills list every time.
Apply early to roles that fit
Migrate Mate lists medical data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by data governance requirements
Job postings that mention HIPAA compliance, de-identification, or IRB protocols signal a more analytical, senior scope than pure reporting roles. Targeting these listings narrows your search to positions where your clinical data knowledge carries real weight.
Prepare a case study for your interview
Most medical data analyst interviews include a take-home or live analysis exercise using sample claims, lab, or survey data. Practice walking an interviewer through your data cleaning decisions and how you handled missing or inconsistent values in a real project.
Negotiate by citing scope, not just title
When countering an offer, anchor on the data volume you manage, the number of stakeholders you support, and whether the role owns production pipelines. These scope factors move compensation more reliably than title comparisons for analytical positions in healthcare.
Medical Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most medical data analysts?
Deloitte, Capital One, and Meta are hiring the most medical data analysts right now, with openings concentrated in California, Virginia, and New York, based on current listings on Migrate Mate as of November 2026. Health systems and large insurers consistently post the highest volume of openings in this role.
How many medical data analyst jobs are remote?
About 78% of medical data analyst openings are fully remote or hybrid as of November 2026, reflecting the analytical and non-patient-facing nature of most of the work. Roles focused on population health reporting, payer analytics, and national insurance programs tend to be the most remote-friendly, while positions embedded with clinical operations teams are more likely to require on-site presence.
How do you become a medical data analyst?
Start with a foundation in a quantitative field, such as health informatics, biostatistics, or public health, through a bachelor's or master's degree. Build hands-on SQL skills using publicly available healthcare datasets like CMS claims data. Gain familiarity with at least one EHR platform through coursework, internships, or entry-level roles in health IT or clinical operations. A portfolio showing end-to-end analyses on health data strengthens your application significantly.
Can you get a medical data analyst job with little or no experience?
Yes, entry-level positions do exist, particularly in health insurance, public health agencies, and hospital systems with large analytics departments. Employers hiring at the junior level look for demonstrated SQL ability, exposure to healthcare data formats, and an understanding of HIPAA basics. A capstone project analyzing real claims or electronic health record data, even from a class or self-directed study, can substitute for formal job experience when your resume is otherwise thin.
What does the medical data analyst interview process look like?
Most processes run three to four stages: an initial recruiter screen, a hiring manager conversation focused on your healthcare domain knowledge and past projects, a technical assessment involving SQL queries or a data cleaning exercise on a mock clinical dataset, and a final panel with cross-functional stakeholders such as clinicians or compliance staff. Some employers add a take-home case study where you analyze a de-identified dataset and present your findings and methodology.
Where can I find and apply to medical data analyst jobs?
You can find and apply to medical data analyst jobs on Migrate Mate, which lists current openings from across the United States in one place. Search for roles that match your experience level and specialization, then apply directly to each listing that fits your background.
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