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Diabetes Data Scientist Jobs (NOW HIRING)

Machine Learning Scientist

San Francisco, CA

  • Medical

  • Dental

  • Vision

  • Retirement

... diabetes, and cancer risk, and response to certain medications, and to allow them to use and share ... data however they choose. Description MyOme is looking for a world-class machine learning scientist ...

Diabetes Educator - Endocrinology

Bellingham, WA · On-site

$44.11 - $66.17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor of Science in Nursing or * Master's Degree Required: in a related field of study (for ... Ability to recognize and prioritize complex data to best serve patient. (Required) * Proficient in ...

Diabetes Educator - Endocrinology

Bellingham, WA

$44.11 - $66.17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor of Science in Nursing or * Master's Degree Required: in a related field of study (for ... Ability to recognize and prioritize complex data to best serve patient. (Required) * Proficient in ...

To forever change how diabetes is managed. To unlock information and insights that drive better ... As part of the Data Science and Engineering team, this role combines strategic leadership ...

To forever change how diabetes is managed. To unlock information and insights that drive better ... As part of the Data Science and Engineering team, this role combines strategic leadership ...

Scientist

Miami, FL

  • Medical

  • Dental

... diabetes-related studies, as well as familiarity with contemporary single-cell data science is ... required. Specific experience, knowledge and practical skill sets (experimental design, execution ...

Showing results 21-40

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 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.

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.

More about Diabetes Data Scientist jobs

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.

Staff Behavioral Data Scientist, Evidence Translation

Dexcom

San Diego, CA • On-site

Other

Re-posted 4 hours ago


Dexcom rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
Welcome to Dexcom's Behavioral Science team - a multidisciplinary group applying behavioral science, qualitative research, and data-driven insights to shape product strategy, clinical evidence, and patient-centered innovation. Within Behavioral Science, the Rapid Evidence and Translation (REAT) team synthesizes published evidence to support strategic and commercial decision-making and translates insights into decision-ready outputs for product and service functions across the organization.
We are seeking a PhD-level behavioral scientist and evidence-translation specialist who can interpret and communicate research - not primarily produce itto join the Behavioral Science team. This role will sit at the intersection of behavioral research, evidence synthesis, evidence interpretation, and cross-functional business strategy. The ideal candidate will help synthesize and translate behavioral and psychosocial evidence into actionable insights that inform product development, clinical strategy, claims generation, customer education, and broader organizational decision-making. This individual will conduct rapid evidence reviews to answer priority business questions, partner with BeSci data teams to translate behavioral insights into measurable outcomes and support the development of evidence-based claims. This is a highly cross-functional role requiring scientific rigor, strong critical-appraisal and evidence-synthesis skills, excellent communication skills, and the ability to convert complex behavioral science concepts into clear, practical recommendations for internal stakeholders.
This is an evidence-interpretation and translation role. The successful candidate interprets, synthesizes, and communicates analyses conducted by partner data science teams - they are not responsible for performing primary statistical analysis or model development themselves.
Where you come in:
  • Evidence Reviews and Strategic Insight Generation: Lead and support rapid evidence reviews to answer high-priority business questions. Synthesize published literature, real-world evidence, internal research findings, and behavioral science frameworks into clear, business-relevant insights. Translate complex behavioral, psychosocial, and clinical evidence into practical recommendations for cross-functional stakeholders. Identify evidence gaps and recommend opportunities for future research, analysis, or claims development

  • Behavioral Science and Analytics Translation: Work closely with Behavioral Science data teams to translate behavioral insights into measurable data strategies. Support the development of behavioral metrics, taxonomies, and analytic frameworks that help characterize user engagement, behavior change, product experience, and psychosocial outcomes. Help define meaningful behavioral outcomes and data signals that can be used across cross-functional initiatives. Contribute to the development of dashboards, insight repositories, and internal tools that make behavioral evidence more accessible and actionable.

  • Claims and Evidence Translation: Support the generation of evidence-based claims related to behavioral outcomes, psychosocial value, user engagement, self-management, confidence, satisfaction, and behavior change. Evaluate the strength of available evidence and help determine whether findings are suitable for internal positioning, external communication, or formal claims development.

What makes you successful:
  • PhD in Behavioral Science, Health Psychology, Psychology, Public Health, Behavioral Medicine, Epidemiology, Cognitive Science, Decision Science, Human Factors, or a related field.
  • Experience conducting literature reviews, rapid evidence reviews, systematic or targeted evidence syntheses, or evidence-based strategy work.
  • Strong understanding of behavioral science theories, behavior change frameworks, psychosocial outcomes, and patient/user experience research.
  • Ability to critically appraise and interpret quantitative and mixed-methods findings - survey data, patient-reported outcomes, real-world data, product engagement data, and behavioral analytics - without primary responsibility for conducting the analyses.
  • Ability to translate scientific evidence into actionable recommendations for business, product, clinical, or commercial stakeholders.
  • Strong written and verbal communication skills, including experience developing presentations, reports, or executive-facing summaries.

What you'll get:
  • A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
  • A full and comprehensive benefits program.
  • Growth opportunities on a global scale.
  • Access to career development through in-house learning programs and/or qualified tuition reimbursement.
  • An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Travel Required:
  • 5-15%

Experience and Education Requirements:
  • Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8 - 12 years of related experience. Or a Master's degree and 5 - 7 years of equivalent experience. Or a PhD and 2 - 4 years of experience.

Flex Workplace: Your primary location will be a home office. You will not have an assigned workstation and will work with your manager to determine office visit needs. You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km).
Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at
Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: _I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.
Salary:
$141,800.00 - $236,400.00

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