Bioinformatics Analyst/Scientist

Whitehead Institute for Biomedical Research
Page Lab
United States Massachusetts Cambridge


The Page Lab at Whitehead Institute studies the differences between males and females in health and disease, integrating analyses at the levels of genomics, transcriptomics, epigenomics, proteomics, and metabolomics. The Page Lab seeks a Bioinformatics Analyst/Scientist to propose, design, develop, and collaborate on a variety of sex differences projects. The Bioinformatics Analyst/Scientist will be responsible for the analysis and interpretation of experimental data and for collaborating with and advising scientists and trainees in the lab under the guidance and supervision of the Principal Investigator.
• Propose, design, develop, and collaborate on research projects with substantial bioinformatic requirements.
• Collaborate with and support Page Lab scientists using public or custom tools in the areas of next-generation sequencing analysis (e.g., RNA-seq, ChIP-seq, ATAC-seq), genomics, epigenomics, metabolomics, data mining, protein analysis, statistics, and other high-throughput analyses.
• Identify or develop software and tools to analyze, display, and manage biological data.
• Demonstrate a thorough understanding of gold-standard and newly developed bioinformatics tools for a wide range of common analyses, such as differential expression analysis.
• Perform transcriptomics analysis, including single-cell RNA-seq analysis.
• Manage sequence databases.
• Collaborate with outside labs on data analyses.
• Perform other duties, as assigned.


• M.S. in biology or related discipline.
• A minimum of 2-3 years of bioinformatics/computational biology experience.
• Experience with transcriptomic (both bulk tissue and single-cell), epigenomic, and high-dimensional datasets.
• Experience retrieving sequencing data from public archives (GEO, EGA, dB GAP, etc.) and performing quality control analyses on such data. Experience submitting data to public archives is a plus.
• Proficiency in programming (Python/Perl and R/Bioconductor), databases (SQL), and biostatistics.
• Experience with utilizing and evaluating open source bioinformatic software and developing custom computational pipelines for next-generation sequencing analysis.
• Proficiency in collaborative coding environments (GitHub) and automating computational work in environments such as jupyter or Rmarkdown.
• Proficiency in bash and analysis automation in a cluster computing environment.
• Excellent interpersonal, verbal, and written communication skills.
• Must be able to work well independently and with all levels of Institute researchers.
• Must work well with others in a team environment.
• Must be flexible and demonstrate good skills in instruction and training.
• Must have a demonstrated ability to understand multiple aspects of a problem and identify appropriate solutions.

Start date

As soon as possible

How to Apply


Sharon Bright