|Title||Bioinformatics Research Associate|
|School||Harvard T.H. Chan School of Public Health|
The Huttenhower lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (http://huttenhower.sph.harvard.edu) is seeking a Research Associate to lead the group’s bioinformatics center for microbiome analyses of type 1 diabetes in the Juvenile Diabetes Research Foundation (JDRF). The successful candidate will be responsible for coordinating computational analyses among members of the JDRF microbiome consortium, an approximately 10-laboratory group, including the Huttenhower laboratory, Broad Institute, and national and international research teams. This will include maintenance and development of computational infrastructure created to host, analyze, and share microbial community analysis data, as well as management of consortium data, collaboration in experimental design and microbiome studies, and facilitation of communication among bioinformaticians across the consortium.
The successful candidate will be responsible for working the lab’s research group, the Harvard University Information Technology team (http://rc.fas.harvard.edu), and JDRF consortium members to maintain and expand our bioinformatics platform, which provides services including:
• Secure storage for and access to raw experimental data for group and consortium members.
This advanced postdoctoral position will have leeway to direct and carry out research projects within the purview of the JDRF microbiome consortium and understanding the role of the microbiome in type 1 diabetes. He or she may also supervise a junior mentee or software developer to assist with the computational infrastructure and systems administration of the microbiome bioinformatics center. Strong computational skills are required, as is the ability and willingness to collaborate with and coordinate among multiple groups as part of the JDRF microbiome consortium.
Doctoral degree in Bioinformatics, Computer Science, Biostatistics, Quantitative Biology, or related field; 2 years of postdoctoral work, experience and proficiency in Linux/Unix command line and research environments; working knowledge of Python, in addition to other scripting environments appropriate for scientific data management (shell, R, etc.); basic familiarity with scientific software management (particularly Galaxy and related web content management applications); excellence in research, communication, and collaboration skills, as evidenced by publication record.
Questions regarding this position can be sent to Curtis Huttenhower at email@example.com.
To apply, send cover letter describing your research interests and interest in the position, with CV.
|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, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
|Minimum Number of References Required||2|
|Maximum Number of References Allowed||3|
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