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Diabetes Bioinformatics Jobs (NOW HIRING)

... diabetes and obesity. This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney ...

Post-doctoral

Baltimore, MD · On-site

$48K - $66K/yr

Post-doctoral research position in Department of Medicine, Division of Endocrinology, Diabetes and ... Previous experience with Drosophila genetics or bioinformatics are preferred but not required. If ...

... diabetes and cardiometabolic disease. We are a computationally focused lab in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics, working at the interface ...

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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 - Genomics Research

Postdoctoral Fellow - Genomics Research

City of Hope

Duarte, CA

$51K - $69K/yr

Full-time

Posted 26 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 Fellowship position is available immediately at the Arthur Riggs Diabetes and Metabolism Research Institute (ARDMRI) at City of Hope National Medical center under Dr. Supriyo Bhattacharya.  Our mission is to advance the next generation of in-silico algorithms for understanding diabetes and related disease mechanisms and identifying actionable therapeutic targets.

Interested candidates should apply by emailing their CV and a cover letter describing background and research interests.

As a successful candidate, you will:

·         Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO-seq and next generation long reads sequencing from Oxford Nanopore.

·         Participate in the development of new computational methods for downstream analysis of genomics data and multiomics integration.

Your qualifications should include:

·         Ph.D. in Bioinformatics or related discipline

·         Hands on experience in genomics data analysis, including bulk and single cell RNA-seq, ATAC-seq and CHIP-seq.

·         Expertise in downstream analysis and biological interpretation of bioinformatic findings

·         Proficiency in R/Python programming, developing analysis pipelines and experience in working with Linux HPCs

·         Experience in applying machine learning methods to genomics data analysis

·         Experience in navigating public databases and genomics data repositories

·         Prior experience and knowledge in diabetes and metabolic disease research would be considered a plus.

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