Cancer Computational Biologist (Postdoctoral Fellow), USA

Postdoctoral Position in USA

Cancer Computational Biologist: The Luna Lab, jointly affiliated with the National Library of Medicine (NLM) and the National Cancer Institute (NCI), is seeking highly motivated and skilled candidates to join our team. This full-time postdoctoral position offers a unique opportunity to contribute to cutting-edge cancer research and precision medicine. Candidates will develop bioinformatic machine learning methodologies to explore cancer-specific genomic, epigenetic, and metabolic alterations, and contribute to the translational clinical program of the NCI.

Cancer Computational Biologist in the Luna Lab (NLM/NCI) (Postdoctoral Fellow)

Summary Table:

DesignationPostdoctoral Fellow
Research AreaCancer Biology, Computational Biology, Genetics and Genomics
LocationBethesda, MD and surrounding area
Eligibility/QualificationPhD in relevant fields, coding experience, -omics data analysis, machine learning expertise
Job DescriptionDevelop bioinformatic methodologies, contribute to clinical program, analyze cancer-specific data
How to ApplySubmit cover letter, CV, references via email to Augustin Luna, Ph.D.
Last Date for ApplyRolling basis, positions available immediately

Designation: Postdoctoral Fellow

Research Area: Cancer Biology, Computational Biology, Genetics and Genomics

Location: Bethesda, MD and surrounding area


  • Essential:
    • PhD in relevant fields (Statistics, Mathematics, Data Science, Physics, Engineering, Computer Science, Biology with computational/statistical experience)
    • Strong coding knowledge (R/Python)
    • Experience in analyzing -omics data (RNAseq, copy number, mutation, methylation, proteomics)
    • Expertise in machine learning/mathematical modeling
    • Interest in computational methods for biological problems
    • Ability to generate and pursue independent research ideas
    • Excellent written and verbal communication skills
    • Dedication to reproducible research and open science
  • Desirable:
    • Foundational knowledge in Bioinformatics, Systems Biology
    • Knowledge in Mathematics, Statistics, Data Science
    • Familiarity with software development and high-performance computing
    • Experience with machine learning frameworks (Pytorch/Tensorflow)
    • Mass spectrometry-based proteomics data analysis
    • Network-based analyses and software/resources
    • Single-cell data analysis
    • Experience in collaborative interdisciplinary environments

Job Description: The Luna Lab aims to advance cancer research and make biomedical data accessible. The successful candidate will:

  • Develop novel bioinformatic machine learning methodologies
  • Explore cancer-specific genomic, epigenetic, and metabolic alterations
  • Understand molecular mechanisms of drug response and resistance
  • Support clinical decision-making by analyzing cancer heterogeneity
  • Use pre-clinical models and patient datasets to identify biomarkers
  • Contribute to both basic and translational science objectives

How to Apply: Please send the following documents to Augustin Luna, Ph.D., via email at with the subject heading “Postdoctoral Application”:

  • Cover letter (1 page max) describing research experiences, training goals, and preferred starting date
  • Updated CV including bibliography
  • Links to code repository (if applicable)
  • Contact information for 3 references (name, institute, email, phone)

Last Date for Apply: Rolling basis, positions available immediately



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