Featured RNA-Seq Job – Bioinformatics Scientist

Faculty of Arts and Sciences
Job Code
RS0458 Bioinformaticist III

Duties & Responsibilities

Exciting opportunity to uncover the fundamental architecture of the mouse brain using cutting-edge techniques in a collaborative and enriching intellectual environment.

The Harvard FAS Informatics Group, in collaboration with the Dulac Lab in the Department of Molecular and Cellular Biology at Harvard University, seeks a bioinformatician for genomics analysis, with a focus on single cell RNA-seq analysis. This position will be 100% dedicated to ongoing, NIH-funded projects in the Dulac lab to catalog and understand the diversity and function of cell types in the mouse brain using single-cell RNA-seq and other cutting edge techniques. This is an exciting opportunity to be a key member of an interdisciplinary team that will revolutionize our understanding of the way brains function.

Based within the Informatics group at Harvard, the successful candidate will:

  • Work closely with Dulac lab graduate students, postdocs, and collaborators to derive novel biological insights from large scale RNA-seq data
  • Lead bioinformatics efforts to analyze novel single-cell RNA-seq datasets
  • Use statistical methods to uncover neural circuits underlying survival functions in the mouse brain

The successful candidate will be someone with a strong background in RNA-seq analysis, bioinformatics, and statistics, but no background in neuroscience is required or expected. Candidates who are curious and willing to learn will have numerous opportunities to do so.

About FAS Informatics: The Informatics group lies at the intersection of scientific research and high performance computing, and works with a number of research groups across campus on a range of methods. We are a collaborative and co-operative group of computational biologists and bioinformatics scientists who develop and apply cutting-edge approaches to a range of biological questions. We are committed to diversity and especially encourage members of underrepresented communities to apply.

Basic Qualifications

  • Masters degree or higher in bioinformatics, computer science, genomics, or a related field, with at least 5 years hands-on experience with bioinformatics methods
  • Expertise in programming languages commonly used in bioinformatics (such as Python or R)

Additional Qualifications

  • PhD in a relevant field is strongly preferred
  • Expertise in the analysis of RNA-seq data, prior experience with single-cell RNA-seq data preferred
  • Fluency with Linux shell scripting and high performance computing

(find out more…)

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