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Diabetes Bioinformatics Jobs (NOW HIRING)

Benaroya Research Institute

Bioinformatician I

Seattle, WA · On-site

$78K - $122K/yr

... 1 diabetes, rheumatoid arthritis, inflammatory bowel disease, multiple sclerosis, allergy, and ... Requires a bachelor's degree in bioinformatics, biostatistics, or other life science with a strong ...

Benaroya Research Institute

Bioinformatician I

Seattle, WA · On-site

$78K - $122K/yr

... 1 diabetes, rheumatoid arthritis, inflammatory bowel disease, multiple sclerosis, allergy, and ... Requires a bachelor's degree in bioinformatics, biostatistics, or other life science with a strong ...

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Diabetes Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do diabetes bioinformatics jobs pay per year?

As of Jun 7, 2026, the average yearly pay for diabetes bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Diabetes Bioinformatics vs Bioinformatics Analyst?

AspectDiabetes BioinformaticsBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; knowledge of genomics and disease-specific dataBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, pharmaceutical companies focusing on diabetes researchResearch institutions, biotech firms, healthcare organizations analyzing biological data
Employer & Industry UsageSpecialized in diabetes-related data analysis and researchBroader data analysis roles across various biological and medical fields

Diabetes Bioinformatics focuses specifically on analyzing data related to diabetes, requiring specialized knowledge of the disease. In contrast, Bioinformatics Analyst roles are broader, covering various biological data types across multiple fields. Both roles often share similar educational backgrounds and work environments but differ in their specific focus areas.

What are some common interdisciplinary collaborations for professionals in Diabetes Bioinformatics, and how do these collaborations impact daily work?

Professionals in Diabetes Bioinformatics frequently collaborate with clinicians, laboratory scientists, statisticians, and software developers. These interdisciplinary teams work together to analyze complex biological data, such as genomic or clinical datasets, to develop insights that can improve diabetes diagnosis and treatment. Daily work often involves regular meetings to align objectives, share findings, and troubleshoot technical challenges. These collaborations are essential for translating bioinformatics discoveries into practical healthcare solutions and foster a dynamic, team-oriented work environment.

What are the key skills and qualifications needed to thrive as a Diabetes Bioinformatics Specialist, and why are they important?

To excel as a Diabetes Bioinformatics Specialist, you need a strong background in bioinformatics, computational biology, and diabetes-related biomedical research, usually supported by an advanced degree in bioinformatics or a related field. Familiarity with programming languages (such as Python or R), bioinformatics databases, statistical analysis tools, and next-generation sequencing platforms is typically required. Critical thinking, attention to detail, and effective interdisciplinary communication are key soft skills that enable success in this role. These skills and qualities are essential for analyzing complex biological data, driving research insights, and collaborating across clinical and research teams to improve diabetes understanding and treatment.

What is a Diabetes Bioinformatician?

A Diabetes Bioinformatician is a specialist who uses computational and statistical methods to analyze biological data related to diabetes. They work with large datasets, such as genetic information, clinical records, and biomarker profiles, to uncover patterns and insights that can improve understanding, diagnosis, and treatment of diabetes. Their work often involves developing algorithms, managing databases, and collaborating with clinicians and researchers in diabetes care.
Infographic showing various Diabetes Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 8% Locum Tenens, 28% As Needed, 45% Full Time, 7% Part Time, 11% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Postdoctoral Fellow - Vascular Biology, Diabetes and Cancer

Postdoctoral Fellow - Vascular Biology, Diabetes and Cancer

City of Hope

Duarte, CA

$51K - $69K/yr

Other

Posted 22 days ago

City Of Hope rating

8.4

Company rating: 8.4 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

33rd of 869 rated healthcare providers

Job description

Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

A Postdoctoral researcher opportunity is available in the laboratory of Dr. Zhen Bouman Chen, a leading expert in the field of vascular biology and diabetes complications and Co-Director of the Cardiovascular Research Center at the Arthur Riggs Diabetes Metabolism Research Institute of City of Hope.

Built upon her interdisciplinary training in medicine, vascular biology, bioengineering, and data science, Dr. Chen leads an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel, the lab emphasizes translational research to identify novel diagnostic and therapeutic targets and to develop innovative strategies that can be advanced toward clinical application. Dr. Chen is passionate about mentorship and peer support and Chairs the Women Leadership Committee of the Arteriosclerosis, Thrombosis, and Vascular Biology Council of the American Heart Association. 

For more information on Dr. Chen's research please visit here.

As a successful candidate, you will:

         Conduct research on NIH-funded and other externally or internally supported projects focused on vascular biology, diabetes (and its complications), and/or cancer.

         Collaborate with a multidisciplinary team including lab technicians, bioinformaticians, bench scientists, statisticians, and physician-scientists to:

o   Perform experiments using cell culture, organoids, animal models, and human tissues

o   Conduct bioinformatics analyses of high-throughput sequencing data

o   Interpret and present findings through scientific publications and presentations at national and international conferences

         Be strongly encouraged and supported to apply intramural and extramural funding for career development

         Mentor junior researchers, students, and interns

Your qualifications should include:

         A M.D. and/or Ph.D. degree in life sciences

         Preferred research in one or more of these areas: cardiovascular biology, metabolic disease, cancer or cancer immunology, neurodegenerative diseases and/or aging

Preferred technical experience in one or more of the following areas:

         Mouse handling and metabolic phenotyping

         Microsurgical techniques (e.g., dissection, ligation, suturing)

         Organoids and 3D culture systems

         Vascular/endothelial biology or stem cell biology

         Single cell biology, scRNA/snRNA/scATAC-sequencing

         Immunohistochemistry and tissue processing

         Immunology, flow cytometry, and imaging-based analyses

         High-throughput sequencing data analysis and bioinformatics

         Nanomedicine and targeted delivery systems

         Machine learning and artificial intelligence

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.

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About City of Hope

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City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases. Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hopes translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hopes specialized cancer expertise. City of Hope is ranked among the nations Best Hospitals in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.

Industry

Hospitals

Company size

1,001 - 5,000 Employees

Headquarters location

Duarte, CA, US

Year founded

1913

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