Bioinformatics Scientist | Harvard University Faculty of Arts and Sciences - Military Veterans

at HERC - New England

Cambridge, Massachusetts

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 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 is a five-year term position contingent upon continued grant funding and satisfactory performance. When applying for this position, please submit your CV and cover letter in our preferred format as one combined document with CV followed by a cover letter. We regret that Harvard University does not provide visa sponsorship for this position. We invite individuals with diverse backgrounds, experiences and abilities to be a part of our community. All formal written offers will be made by FAS Human Resources. Harvard offers an outstanding benefits package including: Time Off: 3- 4 weeks paid vacation, paid holiday break, 12 paid sick days, 12.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness Options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus Salary Grade: 058 Union: 00 - Non Union, Exempt or Temporary 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) 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 EQUAL OPPORTUNITY EMPLOYER: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Cambridge, Massachusetts

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