Research Fellow- Slaugenhaupt & Talkowski Labs

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The Slaugenhaupt and Talkowski laboratories in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), Harvard Medical School (HMS), and the Broad Institute are seeking an exceptional candidate in Computational Biology and Bioinformatics at the postdoctoral level to direct collaborative projects involving functional transcriptomic studies across multiple neurogenetic disorders. Highly qualified candidate would oversee computational transcriptome analyses for collaborations spanning multiple departments and institutions and involving the integration of RNA-seq datasets generated from human, mouse and cell line samples. Candidate will have the opportunity to work in a unique translational environment that integrates bioinformatics analysis with technology development and advanced molecular biology. He/She will have significant independence, with appointments to MGH, HMS, and the Broad Institute, and will interact with collaborators within all three institutions. The candidate will also get a chance to work with cutting edge data types like single-cell transcriptome sequencing (10X and inDrop), Hi-C, 4C, and ATAC-Seq, to name a few. Ideal candidate will have good programming skills, advanced knowledge of statistical methods, advanced expertise in the analysis and interpretation of next-generation sequencing data focusing on bulk or single cell RNA-seq and its integration with other “omics” data sources or demonstrated expertise in human genetics and bioinformatics. Candidate will also need excellent interpersonal skills to work in a highly collaborative environment across institutions. A Ph.D. in human genetics, quantitative genetics, computational biology, bioinformatics, computer science, physics, or mathematics is required. Visa sponsorship is available for Postdoctoral Fellows.


  • Perform complex data acquisition, storage, cleaning, and pre-processing
  • Performs advanced quantitative statistical analysis methods
  • Dissemination of results via presentation and publications.
  • Computational biology and statistical genetics consultant and resource for center and department


  • Advanced skillset in computational biology, bioinformatics, statistics, or genomics.
  • Advanced knowledge of gene expression, co-expression network and alternative splicing analysis from bulk RNA sequencing data.
  • Experience in cloud-based computing preferred
  • Must be frequent in Python (or Perl), R and Bash; Experience in GitHub maintenance is a plus
  • Must be able to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment
  • Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab
  • Excellent written and verbal communication skills
  • Excellent organizational skills
  • Excellent quantitative and organizational skills
  • Proven ability to work well in collaborative environment
  • Proficiency in complex data mining, database management, biostatistics, and computer programming.
  • PhD Degree

EEO Statement

Massachusetts General Hospital is an Equal Opportunity Employer.  By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.


Apply online here: