The Harvard FAS Informatics Group seeks a bioinformatician or computational biologist for a staff scientist position. This individual will collaborate with faculty, post-docs and students to help them arrive at the best analysis procedure for their data, and help develop best practices and new methods to facilitate analysis of sequencing data. This is a flexible job that provides opportunities for teaching, research, and extensive collaboration, in the context of a stable position in a strong intellectual environment with good work-life balance.
· Work closely with Harvard faculty, postdocs, and students to advise on analysis of sequencing data and other biological 'big data', with a focus on population and ecological genomics
· Lead ongoing efforts in the FAS bioinformatics group to develop methods and resources for non-model and comparative population genomics
· Teach bioinformatics workshops to the Harvard community on topics of interest
· Collaborate with scientists generating sequencing data at Harvard, including participating in the writing and execution of grant proposals with faculty members.
The Bioinformatics group lies at the intersection of scientific research and large scale computational analysis and works with many research groups. We are thus looking for someone who has a keen ability for picking up new knowledge and enjoys working on a wide variety of projects across a range of methods, although we are particularly interested in candidates with population genetics experience. We are committed to diversity and especially encourage members of underrepresented communities to apply.
We regret that Harvard does not provide work authorization and/or visa sponsorship for this position.
All formal offers will be made by FAS Human Resources.
We invite individuals with diverse backgrounds, experiences and abilities to be a part of our community.
Salary Grade: 058
Union: 00 - Non Union, Exempt or Temporary
· A Master's degree or higher in Biology, Bioinformatics, Computer Science or a related scientiﬁc ﬁeld, and at least 5 years bioinformatics experience.
· Experience with programming languages commonly used in bioinformatics such as Python or R, and experience with Linux shell scripting.
· PhD in a relevant field is strongly preferred
· Expertise in the analysis of population genetics data, with experience in non-model systems, is preferred.
· Fluency with Linux shell scripting and high performance computing, including workflow management tools and best practices in reproducible science.
· The ability to explain complex scientiﬁc and computational ideas to a wide range of scientists and researchers (such as graduate students, postdocs, and faculty), including those with little or no computational experience, will be extremely important for the successful candidate.
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.
Internal Number: 52575BR
About Harvard University Faculty of Arts and Sciences
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