|GENERAL SUMMARY/ OVERVIEW STATEMENT: .|
The Talkowski laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School, and the Broad Institute is seeking exceptional postdoctoral candidates in computational biology, bioinformatics, and/or statistical genetics. Candidates would direct collaborative research initiatives seeking to discover genomic variation and determine its functional impact in developmental anomalies and neuropsychiatric disorders. Highly qualified candidates would oversee one or more of the following studies: (1) analyses related to the aggregation of datasets across global populations to discover structural variation, principles of natural selection, and insights into population genetics (e.g. the genome aggregation database [gnomAD]); (2) large-scale Mendelian and complex disease association studies; (3) functional genomics analyses from human iPSC-derived neuronal cells or three-dimensional organoid models modified using CRISPR/Cas9 genome editing. The candidate will be appointed as a Research Fellow at the Massachusetts General Hospital, Post-Doc at the Harvard Medical School, and Associated Scientist at the Broad Institute. Candidates will also require excellent interpersonal skills to work in a highly collaborative environment across institutions. Visa sponsorship is available for Postdoctoral Fellows.
Interested applicants should submit their cover letter, CV, and contacts for references to:
firstname.lastname@example.org and email@example.com
See the lab’s website for more details on current projects, objectives, and lab members – http://talkowski.mgh.harvard.edu.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Candidates will have the opportunity to work in a unique translational genomics environment in the CGM that seeks to integrate computational genomics, technology development, and molecular genomics methods. At the Broad Institute, these collaborative projects span the Stanley Center for Psychiatric Research, the Program in Medical and Population Genetics, and the Data Sciences Platform. Candidates interested in population genomics and disease association will have the opportunity to analyze very large-scale genome sequencing datasets of millions of individuals over the next several years, while functional genomics candidates will work with cutting edge data types like single-cell transcriptome sequencing, Hi-C studies of 3D topology, ATACseq, 4Cseq, and other datasets in iPSC-derived neurons and organoid models of neurodevelopment.
- PhD in human genetics, quantitative genetics, computational biology, bioinformatics, computer science, physics, or mathematics is required.
- Advanced skillset in human genetics, statistical genetics, and/or computational biology, and prior exposure to genome and transcriptome sequencing datasets.
- Experience in cloud-based computing preferred
- Must be frequent in Python (or Perl), R and Bash; Experience in GitHub maintenance is a plus.
- Advanced knowledge of statistical methods.
- Expertise in analyzing next-generation sequencing data (i.e. WGS, WES, RNAseq, ChIP-seq, etc.)
- Proficiency in complex data mining, database management, biostatistics, and computer programming.
- Must be able to work independently as well as part of a team in a fast-paced, highly collaborative and supportive environment
- Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab
- First (or co-first) author of one or more peer-reviewed scientific publications
- Excellent written and verbal communication skills
- Excellent organizational skills
- Excellent quantitative and organizational skills
- Proven ability to work well in collaborative environment
Recent PhD graduate.
The fellow will be situated in the newly renovated bioinformatics suite in the CGM allowing collaboration with other computational biology investigators; they will also have access to the molecular biology lab/cell culture facilities in the Talkowski Lab.
Recent PhD graduate.
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.