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Diabetes Data Scientist Jobs (NOW HIRING)

Senior Postmarket Surveillance Data Scientist

Alameda, CA · On-site

$90K - $180K/yr

  • Medical

  • Life

  • Retirement

The Opportunity This position works out of our Alameda, CA location in the Diabetes Care division ... Required Qualifications Bachelors Degree in Computer Science, Data Analytics or similar discipline ...

Engineer features from longitudinal patient charts to map cardiac, diabetic, and respiratory risk ... Bachelor's or Master's in Data Science, CS, Stats, ML, or related field. * Strong experience in ...

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Diabetes Data Scientist information

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$46K

$165K

$243.5K

How much do diabetes data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for diabetes data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a diabetes data scientist?

A Diabetes Data Scientist is a professional who uses data analysis, statistical modeling, and machine learning techniques to study diabetes-related data. Their work involves analyzing health records, research studies, and real-world data to identify trends, improve patient outcomes, and support the development of new treatments or management strategies for diabetes. They often collaborate with healthcare providers, researchers, and technology experts to translate complex data into actionable insights that can benefit patients and healthcare systems.

What types of data does a diabetes data scientist typically work with, and how do they impact day-to-day responsibilities?

A Diabetes Data Scientist often works with a diverse range of data, including electronic health records, continuous glucose monitoring data, patient-reported outcomes, and wearable device metrics. Managing and integrating these varied data types requires strong data cleaning and preprocessing skills, as well as expertise in statistical analysis and machine learning. On a daily basis, you may collaborate with clinicians and researchers to interpret data, develop predictive models, and generate actionable insights that can improve diabetes management and patient outcomes.

What is the difference between Diabetes Data Scientist vs Data Analyst in Healthcare?

AspectDiabetes Data ScientistData Analyst in Healthcare
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related; proficiency in data visualization
Work EnvironmentResearch labs, healthcare tech companies, hospitalsHospitals, clinics, healthcare organizations
Industry UsageDevelops predictive models for diabetes management and researchAnalyzes healthcare data to improve patient outcomes

Diabetes Data Scientists focus on building predictive models and advanced analytics specifically for diabetes research and management, often requiring machine learning skills. Data Analysts in Healthcare typically handle data reporting and visualization to support clinical decisions. Both roles are vital in healthcare but differ in technical complexity and focus areas.

What are the key skills and qualifications needed to thrive as a diabetes data scientist, and why are they important?

To thrive as a Diabetes Data Scientist, you need expertise in data analytics, biostatistics, and a solid understanding of diabetes-related healthcare, typically supported by a degree in data science, statistics, or a related field. Familiarity with tools like Python, R, SQL, and experience using machine learning frameworks and healthcare databases is essential. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex findings clearly to both clinical and non-technical stakeholders set candidates apart. These skills are crucial for extracting actionable insights from health data, driving better patient outcomes, and supporting evidence-based decision-making in diabetes care.
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What cities are hiring for Diabetes Data Scientist jobs?

Cities with the most Diabetes Data Scientist job openings:

What states have the most Diabetes Data Scientist jobs?

States with the most job openings for Diabetes Data Scientist jobs include:

Infographic showing various Diabetes Data Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Research Associate, Center for Diabetes Technology (UVA)

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 15 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities


Job description

The Center for Diabetes Technology (CDT) and the University of Virginia (UVA) School of Medicine invites applicants for multiple Postdoctoral Research Associates for their research team, focusing on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research network of leading U.S. institutions. We advance the use of technology, including analytics, to allow improved data and operational management, monitoring, and therapies for patients with Type 1 and Type 2 Diabetes.
The CDT is directed by Boris Kovatchev, PhD, a world-renowned researcher in the field of Diabetes, algorithm development and data science. Dr. Kovatchev is a regular lecturer at Universities and Conferences throughout the US and Europe. He is actively involved with Center projects and with the direction and education of all post-doctoral candidates. With substantial NIH funding, the Center led and successfully completed the three largest randomized Artificial Pancreas(AP) clinical trials in the World to date , including a pivotal trial aiming for regulatory clearance of a new AP System (that included the algorithm program developed at the Center), published on October 16, 2019 in the New England Journal of Medicine . For more information visit: https://med.virginia.edu/diabetes-technology/
Successful candidates will be afforded the opportunity to continue their research under the supervision of a team of accomplished faculty members and physicians. As well, incumbents will be able to conduct independent translational research in biotechnology, biomedical engineering, advanced mathematics, and Data Science that will not only be essential to the programs of CDT faculty members; but will impact future healthcare programs and therapeutics for improved patient care. Incumbents will perform high-profile, NIH-funded and other sponsored research in an interdisciplinary international research setting and be a regular attendee at diabetes and technology conferences.
Successful candidates will be expected to:
  • Conduct supervised and independent research for the Center for Diabetes Technology and expand Center-related research lines in:
  • Use of machine learning methods for risk prediction, control, classification, and treatment progression
  • Metabolic and behavioral computer simulations related to diabetes and pre-diabetes.
  • Modeling, simulation and model-based analysis of glucose metabolism and control.
  • Validation and testing of in silico-designed treatments and diabetes-related technology.
  • In addition to the above job responsibilities, other duties may be assigned .

There are no clinical responsibilities associated with this position. However, the successful candidate will have regular access to physicians through the UVA School of Medicine.
Qualified candidates must have:
Education: Doctoral degree completed at time of hire.
Preferred requirements:
Research experience in machine learning, biotechnology, biomedical engineering, advanced mathematics or (Diabetes) Data Science.
Salary will be commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits .
Postdoctoral employment is normally limited to an individual who has been awarded a doctoral degree within the previous five years. This is a 12-month appointment with the possibility of renewal (for an additional two, one-year increments) contingent upon satisfactory performance and the availability of funding.
This position is based in Charlottesville, VA, and must be performed fully on-site.
About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
How to Apply
Please apply online , by searching for requisition number R0081079. Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
For questions about the application process, please contact Jeremy Brofft, Senior Academic Recruiter at xmf9ad@virginia.edu .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819