Job Description:
The Huttenhower lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health and the Broad Institute of MIT and Harvard (http://huttenhower.sph.harvard.edu) is seeking a Postdoctoral Fellow. He or she will be responsible for computational discovery and prioritization of potential bioactives from the microbiome as part of the Human Microbiome Bioactives Resource (HMBR), and NIDDK-funded platform for therapeutic characterization from the gut. This will entail development of bioinformatic methods for bioactive microbe and molecule prioritzation by metagenome and metatranscriptome meta-analysis; computational function prediction; and collaboration with molecular and cell biology co-investigators for subsequent screening and validation. Potential bioactives include whole organisms (microbial taxa or strains), gene products, secreted peptides, biosynthetic operons, or small molecule metabolites. Qualifications: Doctoral degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Biology, or a related field; proficiency in one or more statistical or scripting languages appropriate for scalable data analysis (R and/or Python preferred); expertise in programming for biological data analysis; some familiarity with functional genetic and/or genomic data, as indicated by publication record; ability to communicate scientific material and collaborate well.
Additional Info:
The Huttenhower lab is broadly engaged in methods development and applied studies of the roles of the human microbiome in health and disease, with a focus on computational approaches to characterize biomolecular functions within these microbial communities and their interactions with host immunity and health. The group works closely with the Harvard Chan School, the Broad Institute, the Dana-Farber Cancer Institute, and the broader Boston biomedical and life sciences communities, resulting in a rich environment for quantitative, computational, and laboratory collaborations. Funding is available for two years, contingent upon annual reviews, with an expectation of extension and expansion for subsequent years. EOE / Minorities / Females / Protected Veterans / Disabilities About Us: The Broad Institute is pioneering a new model of collaborative biomedical science to transform biology and medicine. To do that, we have created a unique community of amazing, creative people — “Broadies” — each with a passion for pushing scientific frontiers. Broadies have a diverse collection of talents, expertise, and backgrounds, creating a rich collaborative environment for solving intractable scientific problems. We are always looking for new team members within Research, Computational Biology, Software Engineering, and Administration to help us tackle important problems at the cutting edge of science. Why Broad? It comes down to our culture. Our community transcends academic and organizational barriers, encouraging different points of view and making all Broadies part of something meaningful. If ours is a community you would want to be a part of, then please apply! [Click Here to Access the Original Job Post]
The Huttenhower lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health and the Broad Institute of MIT and Harvard (http://huttenhower.sph.harvard.edu) is seeking a Postdoctoral Fellow. He or she will be responsible for computational discovery and prioritization of potential bioactives from the microbiome as part of the Human Microbiome Bioactives Resource (HMBR), and NIDDK-funded platform for therapeutic characterization from the gut. This will entail development of bioinformatic methods for bioactive microbe and molecule prioritzation by metagenome and metatranscriptome meta-analysis; computational function prediction; and collaboration with molecular and cell biology co-investigators for subsequent screening and validation. Potential bioactives include whole organisms (microbial taxa or strains), gene products, secreted peptides, biosynthetic operons, or small molecule metabolites. Qualifications: Doctoral degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Biology, or a related field; proficiency in one or more statistical or scripting languages appropriate for scalable data analysis (R and/or Python preferred); expertise in programming for biological data analysis; some familiarity with functional genetic and/or genomic data, as indicated by publication record; ability to communicate scientific material and collaborate well.
Requeriments :
Skills :
- Bioinformatics
- Cell Biology
- Genetics
- genomic
- molecular biology
- Programing in Python
- Programing Skills
- Programming in R
Areas :
Additional Info:
The Huttenhower lab is broadly engaged in methods development and applied studies of the roles of the human microbiome in health and disease, with a focus on computational approaches to characterize biomolecular functions within these microbial communities and their interactions with host immunity and health. The group works closely with the Harvard Chan School, the Broad Institute, the Dana-Farber Cancer Institute, and the broader Boston biomedical and life sciences communities, resulting in a rich environment for quantitative, computational, and laboratory collaborations. Funding is available for two years, contingent upon annual reviews, with an expectation of extension and expansion for subsequent years. EOE / Minorities / Females / Protected Veterans / Disabilities About Us: The Broad Institute is pioneering a new model of collaborative biomedical science to transform biology and medicine. To do that, we have created a unique community of amazing, creative people — “Broadies” — each with a passion for pushing scientific frontiers. Broadies have a diverse collection of talents, expertise, and backgrounds, creating a rich collaborative environment for solving intractable scientific problems. We are always looking for new team members within Research, Computational Biology, Software Engineering, and Administration to help us tackle important problems at the cutting edge of science. Why Broad? It comes down to our culture. Our community transcends academic and organizational barriers, encouraging different points of view and making all Broadies part of something meaningful. If ours is a community you would want to be a part of, then please apply! [Click Here to Access the Original Job Post]