Postdoctoral Fellow in Computational Cancer Genomics

Postdoctoral Fellow in Computational Cancer Genomics

Beth Israel Deaconess Medical Center - Harvard Medical School

Cambridge, MA, United States

Postdoctoral Fellow in Computational Cancer Genomics @Harvard Medical School and BIDMC

The Non-coding Research Lab is part of the Cancer Research Institute in Beth Israel Deaconess Medical Center and the Harvard Initiative for RNA Medicine, Harvard Medical School. Our research focuses extensively on the non-coding “dark matter” of the human genome with precision medicine applications on neoplastic, neurodegenerative, and autoimmune diseases.

We are currently looking for a talented postdoctoral researcher to lead a cutting-edge project that employs genomics (single cell and bulk), genetics, and machine-learning in order to elucidate the role of non-coding RNAs and non-coding variation in cancer immunotherapy.

The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics (analysis of different bulk/single cell Next Generation sequencing Techniques).

Our location within the CRI, a vibrant Department of Pathology in a leading Harvard Teaching Hospital, the first Institute for RNA Medicine in Boston, and Harvard Medical School, creates a unique environment for avant-garde research and scientific growth. Harvard Medical School, BIDMC and Boston constitute an incredible environment for aspiring quantitative biomedical scientists. The scholar will receive training on research, grant writing, career development, and mentoring. She/he will have the opportunity to lead impactful projects and collaborate directly with an extensive network of leading researchers in the US and internationally. Successful applicants will receive a competitive remuneration and benefits package.

Essential Skills
• Extensive experience in handling and analyzing Next Generation Sequencing data
• PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics)
• Strong quantitative background (e.g. Computer Science, Applied Math, Biostatistics)
• Experience in bioinformatics/data analysis in R
• Experience in linux-based environments and high performance computing
• Great programming skills

Ideal Skills
• Experience in population genetics
• Familiarity with epigenetic mechanisms and gene expression regulation
• Single cell -omics data analysis experience
• Experience in immunoinformatics
• Strong publishing record

Please send a recently updated CV, a cover letter, and contact information for three referees to Dr. Ioannis Vlachos:

For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions.

For further information visit:

We are an equal Opportunity Employer and we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.


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Postdoctoral Fellow in Computational Cancer Genomics