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Job

Postdoctoral Fellow

The Bladder Cancer Section laboratory of the NCI Genitourinary Malignancies Branch, headed by Dr. Andrea B. Apolo, is now seeking a Postdoctoral Fellow.

About the position

We are seeking a highly motivated postdoctoral fellow, with strong expertise in bioinformatics, cancer genomics, and interest or experience in wet lab research, to join our multidisciplinary team researching bladder cancer and rare genitourinary malignancies. Our lab combines integrative multi-omics analyses with experimental validation to study targeted therapies, mechanisms of drug resistance, tumor evolution, and immunotherapy response.

Successful candidates will lead projects involving the analysis of next-generation sequencing data (RNA-seq, whole exome/genome sequencing, single-cell sequencing), the integration of clinical and molecular datasets, and the identification of biomarkers and therapeutic targets. In parallel, prospective fellows will also participate in wet lab experiments, including molecular biology, cell culture, and functional validation studies, to enable a combined computational and experimental approach.

The Genitourinary Malignancies Branch is part of Center for Cancer Research, the National Cancer Institute’s largest intramural program. The GMB is a vibrant, multidisciplinary research community featuring innovative, high-impact bench-to-bedside research and close collaboration between physicians and scientists with a primary focus on genitourinary cancers.

This position will be renewed on a yearly basis for a maximum of 5 years.

Apply for this vacancy

What you'll need to apply

Interested applicants should provide a current CV/Resume, three professional references, and a cover letter to Dr. Salah Boudjadi at the email below.

Contact name

Dr. Salah Boudjadi

Contact email

[email protected]

Qualifications

Prospective applicants should possess the following:

  • A Ph.D. or equivalent degree.
  • A strong background in bioinformatics, computational biology, or cancer genomics.
  • Experience analyzing next generation sequencing datasets (RNA-seq, WES/WGS, single-cell)
  • Proficiency in programming languages such as R, Python, and/or Unix/Linux environments.
  • Experience with bioinformatics pipelines, statistical analysis, and data visualization.
  • Hands-on experience with, or a strong interest in, wet lab techniques.
  • Familiarity with public genomic databases (TCGA, cBioPortal) and integrative analysis approaches
  • Understanding of cancer biology and/or immuno-oncology
  • Strong organizational, problem-solving, and communication skills

Disclaimer/Fine Print

U.S. citizens and permanent residents are eligible to apply. NIH welcomes foreign nationals with the exception of individuals from this list.