This is an exciting opportunity to uncover the fundamental architecture of the mouse brain using cutting-edge techniques in a collaborative and enriching intellectual environment.
Position Description
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 single cell analysis, including single-cell RNA-seq and single-cell ATAC-seq. 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 cutting edge single-cell 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 single cell analysis projects
• Lead bioinformatics efforts to analyze novel single-cell datasets and develop new methods to extract biological insights from complex data
• 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 one or more of single cell analysis, bioinformatics, statistics, or neuroscience. While a background in neuroscience is not required, familiarity with cellular or molecular biology will be an asset.
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 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.
This full-time position will be based on our campus in MA, with the possibility to have a hybrid in-person/remote schedule. The selected candidate will need to be on campus as business needs require.
Commitment to Equity, Diversity, Inclusion, and Belonging
Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.
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 and Skills
• PhD in a relevant field is strongly preferred
• Expertise in the analysis of RNA-seq data, prior experience with single-cell data strongly preferred
• Fluency with Linux shell scripting and high performance computing
• Experience working closely with biologists on the analysis of complex, large-scale sequencing data
Harvard University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard's Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University's COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University's "COVID-19 Vaccine Information" webpage: www.harvard.edu/coronavirus/covid-19-vaccine-information/.
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