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Disease Modeling Postdoc Jobs (NOW HIRING)

The Pennsylvania State University

... Postdoctoral Scholars to conduct research for an NIH-NSF funded project on human health, movement ... Quantitative disease modeling in R and/or Python And some command of at least two of the following:

Washington University of St. Louis

The Postdoc will work closely with the PI and collaborate with multidisciplinary research and ... Experience with induced pluripotent stem cells (iPSCs), organoids, animal models, or other disease ...

Thecentermemphis

Postdoctoral Fellow on Pediatric Cancer Metabolism Postdoctoral positions are available in the ... relevant disease models. Our team brings together scientists with diverse backgrounds and ...

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Disease Modeling Postdoc information

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How much do disease modeling postdoc jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for disease modeling postdoc in the United States is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $23.32 per hour, depending on experience, location, and employer.

What is a disease modeling postdoc?

Disease Modeling Postdocs are early-career researchers who specialize in using mathematical, statistical, or computational models to study the spread, control, and impact of diseases. They typically work at universities, research institutes, or public health organizations, collaborating with interdisciplinary teams to analyze disease dynamics and inform public health policies. Their work often involves developing and validating models, analyzing large datasets, and publishing research findings. Disease Modeling Postdocs play a critical role in advancing our understanding of infectious and chronic diseases, especially during outbreaks or pandemics.

What are some common challenges faced by disease modeling postdocs and how can they be addressed?

Disease Modeling Postdocs often encounter challenges such as managing large, complex datasets, integrating multidisciplinary research methods, and keeping up with rapidly evolving computational tools. Collaborating closely with biologists, epidemiologists, and data scientists is essential to ensure accurate model development and validation. Time management and clear communication can help address the demands of balancing research, publication, and collaboration responsibilities. Seeking mentorship and participating in regular lab meetings also support skill development and knowledge sharing within the team.

What are the key skills and qualifications needed to thrive as a disease modeling postdoc, and why are they important?

A Disease Modeling Postdoc requires a strong background in epidemiology, mathematics, and computational modeling, typically supported by a Ph.D. in a relevant field. Familiarity with programming languages (such as R, Python, or MATLAB), statistical software, and modeling platforms like GLEAM or EpiModel is essential. Critical thinking, scientific communication, and the ability to collaborate across disciplines are key soft skills that distinguish top candidates. These skills enable effective analysis of complex disease dynamics, accurate prediction of outbreaks, and impactful contributions to public health research.

What is the difference between Disease Modeling Postdoc vs Computational Biologist?

AspectDisease Modeling PostdocComputational Biologist
Required CredentialsPhD in biology, bioinformatics, or related fieldPhD in biology, bioinformatics, or related field
Work EnvironmentAcademic research labs, universitiesAcademic, industry, or research institutions
Employer & Industry UsagePrimarily academia, research institutesAcademia, biotech, pharma companies
Common Search & ComparisonYesYes

While both Disease Modeling Postdocs and Computational Biologists require a PhD and work in research settings, Disease Modeling Postdocs focus specifically on developing models to understand disease mechanisms, often within academic environments. Computational Biologists may work across various biological research areas, including genomics and systems biology, in both academia and industry. The roles overlap in skills and credentials but differ in their primary focus and typical work settings.

What are popular job titles related to Disease Modeling Postdoc jobs?

For Disease Modeling Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Disease Modeling Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $44,150 per year, or $21.2 per hour.

Postdoctoral Research Associate - Oncology - Pediatric Cancer Metabolism

Memphis, TN • On-site

St. Jude Children's Research Hospital
Health Care and Social Assistance • 1 - 5K employees
Learn more about St. Jude Children's Research Hospitalexternal

Other

Posted 8 days ago

St. Jude Children's Research Hospital rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Postdoctoral Research Associate - Oncology - Pediatric Cancer Metabolism

Location

Memphis, TN

Category

Postdoc

Department

Oncology

Shift

Weekday Day

Position Type

Full Time

Scheduled Weekly Hours

40

JR7628

Job Description

Postdoctoral Fellow on Pediatric Cancer Metabolism

Postdoctoral positions are available in the laboratory of Dr. Min Ni at Division of Molecular Oncology and Department of Oncology at St. Jude Children’s Research Hospital to study systems metabolism in development and childhood cancer. We use high-throughput metabolomics, isotope tracing, single-cell and spatial multiomics, and preclinical models to define metabolic programs that regulate mammalian development and determine how these programs are disrupted in metabolic disorders and pediatric cancers.

Our laboratory integrates cutting-edge approaches in metabolomics, genomics and computational biology. We have established in-house LC-MS- and GC-MS-based metabolomics and isotope-tracing platforms and combine these capabilities with single-cell technologies, genetic mouse models, and clinically relevant disease models. Our team brings together scientists with diverse backgrounds and perspectives in a highly collaborative and multidisciplinary environment.

Potential research directions include:

  • Identifying metabolic vulnerabilities and biomarkers in pediatric cancers and determining how metabolic adaptation influences therapeutic response

  • Defining metabolic deficiencies and therapeutic opportunities in metabolic and neurodevelopmental disorders

  • Developing high-throughput mass spectrometry approaches and computational pipelines to model metabolic perturbations and identify disease-associated metabolic programs

Training and career development:

We are committed to helping each trainee develop scientific independence through individualized mentorship and a highly collaborative research environment. Fellows are encouraged to develop their own research directions and build the skills needed for their next career stage. Joining our lab provides a unique opportunity to work at the intersection of metabolism, advanced technologies, and clinically relevant disease models while developing both scientific depth and a broad interdisciplinary perspective.

Qualifications:

Candidates must hold a Ph.D. and/or M.D. degree with a strong background in metabolism, biochemistry, molecular biology, development biology, cancer biology, and/or a related field. The ideal candidate will demonstrate independence, creativity, intellectual curiosity, and a strong record of scientific productivity. Previous experience in metabolomics, mouse genetics, and/or computational biology is strongly preferred but not required.

Min Ni, Ph.D.

St. Jude Children’s Research Hospital

Email: min.ni@stjude.org

St. Jude is an Equal Opportunity Employer

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