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U.S. Department of Agriculture

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USDA-ARS SCINet/AI-COE Postdoctoral Fellowship in Computational Analysis of Viral Disease Progression and Outcomes in Swine U.S. Department of Agriculture (USDA) in United States

Degree Level

Postdoc

Field of study

Immunology

Funding

Monthly stipend of $100,000–$110,000 per year, plus a supplement to offset health/dental insurance costs; additional funds available for supplies, travel, and possible relocation costs.

Deadline

Nov 20, 2026

Country flag

Country

United States

University

U.S. Department of Agriculture

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Keywords

Immunology
Computer Science
Data Science
Virology
Biology
Mathematics
Predictive Modeling
Computational Biology
Medical Science
Immune Response
Rna-seq
High Performance Computing
Statistics
Bioinformatic
Transcriptomic
ML

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About this position

This postdoctoral fellowship is based with the U.S. Department of Agriculture’s Agricultural Research Service at the Virus and Prion Research Unit, National Animal Disease Center in Ames, Iowa. The project sits within the SCINet/Artificial Intelligence Center of Excellence research participation program, which supports collaborative, cross-disciplinary research using advanced computational approaches and high-performance computing.

The fellow will work on computational analysis of viral disease progression and outcomes in swine, focusing on highly virulent porcine reproductive and respiratory syndrome viruses (PRRSVs) that have caused major losses in U.S. swine herds. Under mentor guidance, the research will use bulk and single-cell transcriptomics, clinical readouts, and additional laboratory assay data from blood and disease-affected tissues to identify predictors and facilitators of immune protection and to support development of models that can predict disease outcomes in field-collected samples.

The appointment is embedded in a broader virology, immunology, and computational biology research effort aimed at generating tools and resources for PRRSV control strategies. The fellow will join a scientific team with collaborations across multiple ARS institutions, national programs, academic institutions, and research consortiums, and will also interact with swine industry stakeholders including veterinarians, pork producers, and veterinary biologics professionals.

Training is a key part of the experience, with opportunities to build expertise in data science, scientific computing, AI/ML, transcriptomics pipeline development, longitudinal data analysis, and communication of findings. The project is explicitly aimed at producing novel biological targets, biomarkers, and immune-process insights to inform more effective prevention and treatment strategies for diverse PRRSV strains.

Funding details

Monthly stipend of $100,000–$110,000 per year, plus a supplement to offset health/dental insurance costs; additional funds available for supplies, travel, and possible relocation costs.

What's required

The qualified candidate should be currently pursuing or have received a doctoral degree in one of the relevant fields. Preferred qualifications include awareness of the biological relevance and applications of computational models and workflows; experience analyzing host/eukaryote RNA sequencing data; experience with predictive modeling of long-term outcomes from early disease biomarker data; ability to write and execute scripts in shell environments and with R and/or Python; experience developing, testing, and refining machine learning models; experience developing HPC workflows; excellent written and oral communication skills; ability to function as a teammate in a collaborative research environment; and willingness to learn new skills and obtain new knowledge. U.S. citizenship is required.

How to apply

Apply through the Zintellect/ORISE opportunity page by clicking APPLY at the bottom of the posting. Submit an application, transcript(s), a current resume/CV, and two educational or professional recommendations. Ensure all documents are in English or include an official English translation.

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