Postdoctoral Fellows - Computational Biology & Machine Learning

• Lead Innovative research. Conceive and execute computational research projects, develop novel algorithms and analytical frameworks to interrogate large-scale, multidimensional omics datasets, and translate findings into clinically meaningful insights. Motivation to lead research projects under Principal Investigator's supervision.
• Build Artificial Intelligence (AI)/Machine Learning (ML) tools. Design, implement, document, and publicly release AI/ML models - including deep learning approaches - for integrative analysis of cancer genomic data, contributing resources that advance the broader scientific community.
• Engineer scalable pipelines. Develop and maintain robust, reproducible computational pipelines for processing, integrating, and managing complex biomedical datasets across multiple data modalities.
• Drive scientific communication. Lead and contribute to the preparation of high-impact scientific manuscripts, grant and fellowship applications, and conference presentations; represent the lab at national and international scientific meetings.
• Collaborate across disciplines. Actively contribute to team meetings and foster a culture of scientific excellence within a diverse, interdisciplinary research environment.

Join the HJF Team!

HJF is seeking Postdoctoral Fellow - Computational Biology & Machine Learning who will be responsible for initiating and carrying out research projects in collaboration with a research team consisting of scientific and clinical investigators. Candidates should have a strong working knowledge of computational biology and machine learning preferably in the area of single-cell and spatial omics, epigenomics, or liquid biopsy fragmentomics.

This position will be in support of Dr. Raunak Shrestha's laboratory (https://sites.google.com/usuhs.edu/cpdr/research/labs/shrestha-lab) at the Center for Prostate Disease Research (CPDR), (https://sites.google.com/usuhs.edu/cpdr/home) at the Murtha Cancer Center Research Program (MCCRP). The Shrestha Lab is a computational cancer genomics and data science research group that focuses on elucidating the drivers of cancer progression and therapeutic resistance. We aim to advance personalized medicine and improve clinical outcomes for prostate cancer patients by understanding the complex interplay of the multi-omics information.

The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.