麻省总医院招聘生物统计博士后
2018/2/5 学术经纬

    

     药明康德/报道

     The Manning Lab within the Clinical and Translational Epidemiology Unit at Massachusetts General Hospital, Department of Medicine at Harvard Medical School, and the Diabetes Research Group at the Broad Institute of MIT and Harvard is currently seeking a Postdoctoral Research Fellow with expertise in integrative analysis in the field of translational epidemiology. This position will function under the supervision of Dr. Alisa Manning in collaboration with Dr. James B. Meigs, Professor of Medicine at Harvard Medical School and MGH.

    

     The Manning Lab studies the molecular and mechanistic basis of insulin resistance and obesity and is known for developing statistical strategies for translational epidemiology using whole genome sequence association studies, physiological and molecular studies in humans and integrative analytics. Our goals are to understand the relationship between Genes, Environment and Disease and to foster a stimulating and interdisciplinary research environment with local and international collaborators on a range of projects.

     The fellow will work on a new research program funded by the Department of Defense to identify the molecular mechanisms linking long non-coding RNAs to insulin resistance, type 2 diabetes, and related phenotypes. The fellow will develop and utilize statistical tools for the integrative analysis of multi-omics data: from physiological, genomic and metabolomics studies in a small cohort to large epidemiological cohort studies, and ultimately, develop strategies for clinical translation of our findings. In addition, the fellow will join our work as part of the NHLBI's TOPMed project within the areas of type 2 diabetes research and develop analysis pipelines related to genetics, epigenomics, transcriptomics and metabolomics. They will collaborate closely with Dr. Alisa Manning’s broad network of collaborators at MGH, the Broad Institute of MIT and Harvard, McGill University, the VA and elsewhere.

     Requirements: The initial postdoctoral fellow appointment will be for 3 years, with potential to renew. Requirements include a recently obtained PhD or comparable degree in Biostatistics, Statistics, Bioinformatics, Computational Biology or a relevant field. Strong evidence of programming skills (R, Python, C++, or equivalent programming language) and proven agility in a research computing environment is required. Previous experience with genetic association studies, gene expression and/or metabolomics research is highly desirable. Candidates are further required to have a strong record of research accomplishments and publications, including presentations of scientific results at national meetings and their publication in peer-reviewed journals, an ability to work in a team environment as well as excellent oral and written communication skills. The ideal candidate is passionate about the translation of big data epidemiology, genomics and metabolomics into clinical practice, is highly motivated to work in a fast-paced and highly collaborative environment, and wants to develop new ideas within our lab’s research scope

     Salary: Annual salary of $55-60K, depending on experience

     How to Apply: Qualified candidates should submit their CV, the names of three references, and a cover letter summarizing current and future research interests by email to Dr. Alisa Manning at akmanning@mgh.harvard.edu. Please use the subject line “Postdoc-diabetes”.

     Location: Massachusetts General Hospital is an Equal Opportunity Employer (EEO) and has an Affirmative Action Compliance Program. MGH offers a range of benefits to Research Fellows.

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