The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is seeking a highly motivated Postdoctoral Fellow specializing in Computational Biology and Machine Learning. This role focuses on applying advanced statistical and computational modeling to genomics, specifically targeting cancer research through artificial intelligence and deep learning methods.
Job Overview
| Designation | Postdoctoral Fellow |
| Research Area | Computational Biology, Machine Learning, Cancer Genomics, Bioinformatics |
| Location | Not Specified (Primarily Office-based) |
| Salary Range | $52,800 – $78,000 per annum |
| Experience | 0–5 years of postdoctoral experience |
| Last Date to Apply | Open until filled |
Eligibility & Qualifications
Candidates must meet the following academic and technical requirements:
- Education: A 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.
- Technical Skills: Proficiency in Python, R, and/or C/C++ with experience in scientific computing libraries (pandas, NumPy, SciPy, scikit-learn, Bioconductor).
- Experience: Demonstrated expertise in building or applying computational/statistical pipelines to molecular, biological, clinical, or multi-omics data.
- Workflow Management: Familiarity with reproducible workflow systems such as Snakemake, Nextflow, or equivalent frameworks.
- Infrastructure: Experience with Cloud (AWS, Google Cloud) or High-Performance Computing (HPC) environments like SLURM/SGE.
- Specialization: Experience applying Deep Learning to cancer genomics (single-cell omics, spatial omics, epigenomics, or liquid biopsy) is highly valued.
Job Description
The successful candidate will work in a fast-paced, interdisciplinary research environment. Key responsibilities include:
- Developing and applying computational pipelines to analyze large-scale biomedical datasets, including multi-omics and treatment-response data.
- Applying AI/ML and deep learning methods to solve complex problems in cancer genomics.
- Collaborating with interdisciplinary teams to translate data into biological insights.
- Managing multiple research priorities and meeting deadlines for peer-reviewed publications.
- Maintaining reproducible research standards and utilizing high-performance computing infrastructure.
Benefits
HJF offers a comprehensive benefits package, including:
- Medical, dental, and vision coverage.
- Health savings and retirement plans.
- Professional development opportunities in a leading research environment.
How to Apply
Interested candidates should apply through the official HJF career portal. Employment is contingent upon the successful completion of a background check, including professional references and education verification. Candidates must also be able to obtain and maintain a T1/Public Trust background check.
Apply Link: Official Application Portal
