Summary
The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is hiring a Postdoctoral Fellow to initiate and lead innovative computational research projects in collaboration with scientific and clinical investigators. The position supports Dr. Raunak Shrestha’s laboratory at the Center for Prostate Disease Research (CPDR) within the Murtha Cancer Center Research Program (MCCRP), focusing on cancer genomics, computational biology, and AI/ML approaches to elucidate drivers of cancer progression and therapeutic resistance.
Postdoctoral Fellow – Computational Biology & Machine Learning, Henry M. Jackson Foundation, US
Position Overview
| Parameter | Details |
| Job ID | 11134 |
| Designation | Postdoctoral Fellow – Computational Biology & Machine Learning |
| Organization | Henry M. Jackson Foundation (HJF) |
| Job Category | Programs |
| Job Schedule | Full-time |
| Location | Bethesda, MD, United States (On-site) |
| Salary Range | $52,800 – $78,000 per year |
| Posting Date | July 01, 2026 |
| Last Date to Apply | Not specified (Open until filled) |
Research Area
- Computational Biology & Cancer Genomics
- Artificial Intelligence (AI) and Machine Learning (ML) / Deep Learning
- Single-cell & Spatial Omics, Epigenomics, and Liquid Biopsy Fragmentomics
- Translational Multi-omics and Data Science for Prostate Cancer
Location
- Address: 6720A Rockledge Dr, Bethesda, MD, 20817, US (On-site)
Eligibility & Qualifications
- Education: PhD in Bioinformatics, Computational Biology, Systems Biology, Quantitative Genomics, Biomedical Engineering, Machine Learning, Computer Science (with a computational biology focus), or a closely related field.
- Experience Level: 0–5 years of postdoctoral experience.
Required Knowledge, Skills, and Abilities:
- Strong foundation in statistical and computational modeling and data analysis applied to genomics.
- Proficiency in Python, R, and/or C/C++, alongside scientific computing libraries (e.g.,
pandas,NumPy,SciPy,scikit-learn,Bioconductor). - Experience with reproducible workflow management systems (e.g., Snakemake, Nextflow).
- Familiarity with high-performance computing (HPC) or cloud environments (e.g., Google Cloud, AWS, SLURM/SGE-based clusters).
- Hands-on experience applying AI/ML/deep learning to cancer genomics (particularly single-cell/spatial omics, epigenomics, or liquid biopsy fragmentomics) is highly valued.
- Strong track record of peer-reviewed scientific publications commensurate with career stage.
- Clearance/Background Check: Ability to obtain and maintain a T1/Public Trust background check.
Job Description & Key Responsibilities
- Lead Innovative Research: Conceive and execute computational research projects; develop novel algorithms and analytical frameworks to interrogate large-scale, multidimensional omics datasets.
- Build AI/ML Tools: Design, implement, document, and publicly release deep learning and AI models for integrative analysis of cancer genomic data.
- Engineer Scalable Pipelines: Develop and maintain robust, reproducible computational pipelines for processing and integrating complex biomedical datasets.
- Drive Scientific Communication: Lead and contribute to high-impact manuscripts, grant applications, and conference presentations.
- Collaborate Across Disciplines: Work effectively in an interdisciplinary environment with clinical and scientific investigators.
How to Apply
- Visit the official job portal page: HJF Postdoctoral Fellows Listing.
- Click on the APPLY NOW button located on the job page to submit your application and required documents online.
Last Date to Apply
- Open Until Filled: An explicit closing date is not listed on the posting, so interested candidates are encouraged to apply as soon as possible.
