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Disease Modeling Postdoc Jobs (NOW HIRING)

The Pennsylvania State University

We are seeking new faculty with a focus and established scholarship in infectious disease modeling ... Engage current Penn State faculty, postdoctoral fellows, and student members of the CIDD to shape ...

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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.

Postdoc - Stem Cell Disease Modeling and Precision Medicine - Innovative Genomics Institute

Berkeley, CA • On-site

University of California
See more jobs at University of Californiaexternal

$59K - $81K/yr

Other

Posted 9 days ago

University Of California rating

8.7

Company rating: 8.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

Job description

The Innovative Genomics Institute at the University of California, Berkeley seeks applications for a Postdoctoral Scholar Employee in the Advanced Translational Genetics (ATG) Lab, in the area of stem cell disease modeling and precision medicine.

The ATG Lab investigates the genetic and molecular underpinnings of human disease through the integration of high-throughput pluripotent stem cell (PSC) models. By combining precise genome editing, automated cell engineering, and multiplexed CRISPR screening with single-cell multi-omics and AI modeling, we are building a state-of-the-art cell type-specific disease modeling that provide unique therapeutic discovery platforms. Our mission is to decode complex disease mechanisms and accelerate the development of precision medicine across a broad spectrum of conditions, including oncology, neurodevelopmental and neurodegenerative disorders, and metabolic diseases.

Responsibilities

The successful candidate will play a pivotal role in advancing our research through three primary functional domains:

Advanced Genome Engineering & Characterization
  • Lead projects under the guidance of the Principal Investigator that involve engineering, differentiation to disease relevant cell types and functional characterization of human induced pluripotent stem cells (iPSCs).
  • Execute complex molecular biology workflows, including large-scale tissue culture, PCR, NGS sequencing, high-resolution imaging, and biochemical functional assays to validate disease models.
Scaled CRISPR Discovery
  • Design and execute sophisticated CRISPR screening campaigns, from library design and molecular cloning to lentiviral production.
  • Manage scaled cell culture operations to support high-throughput genetic perturbations and therapeutic discovery.
Multi-Omic Data Integration & AI Modeling
  • Develop and implement computational pipelines to analyze multi-module phenotypic data.
  • Utilize pathway analysis and artificial intelligence (AI) modeling to derive biological insights and identify novel therapeutic targets from complex datasets.

In addition to overseeing their own research projects, the Postdoctoral Employee is expected to provide mentoring within the ATG research team.

  • Mentorship & Collaboration: Provide technical guidance and professional mentorship to graduate and undergraduate students, fostering a collaborative and inclusive lab environment.
  • Scientific Communication: Lead the preparation of high-impact manuscripts for peer-reviewed journals and present research findings at national and international conferences.
  • Grant Development: Support the lab’s sustainability by contributing preliminary data and strategic writing to federal and private grant proposals (e.g., NIH, NSF).

PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree).

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