Post-Doctoral Research Fellow – Functional Genomics

Mass General Brigham • Boston, MA

2d • Onsite

About The Position

The Talkowski Laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), 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 determine the functional impact of genomic variations in developmental, neuropsychiatric, and neurodegenerative disorders. Highly qualified candidates would oversee one or more of the following studies: (1) Functional genomics analyses from human iPSC-derived neuronal cells or three-dimensional organoid models modified using CRISPR/Cas9 genome editing. (2) Multi-omics data integration to define the functional impact of genomic variation and editing across neuronal models of developmental, neuropsychiatric, and neurodegenerative disorders. (3) Mechanistic interpretation of molecular signatures to uncover therapeutically actionable targets. 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.

Requirements

• Ph.D. in human genetics, quantitative genetics, computational biology, bioinformatics, and/or computer science (or expect to receive soon).
• Strong background in human genetics, statistical genetics, and/or computational biology.
• Prior exposure to genome and transcriptome sequencing datasets.
• Excellent interpersonal skills to work in a highly collaborative team science environment across institutions.
• First (or co-first) author of one or more peer-reviewed scientific publications.
• Excellent English verbal and written communication skills.
• Able to work both independently and in a team.
• Experience with commonly used bioinformatics tools and databases.
• Programming skills (i.e. R, Python, C++, etc.).
• Advanced knowledge of statistical methods.
• Expertise in analyzing next-generation sequencing data (i.e. WGS, WES, RNAseq, ATACseq, ChIP-seq, scRNAseq etc.).

Nice To Haves

• Knowledge of neurobiology is a huge plus.

Responsibilities

• Direct collaborative research initiatives seeking to determine the functional impact of genomic variations in developmental, neuropsychiatric, and neurodegenerative disorders.
• Oversee functional genomics analyses from human iPSC-derived neuronal cells or three-dimensional organoid models modified using CRISPR/Cas9 genome editing.
• Oversee multi-omics data integration to define the functional impact of genomic variation and editing across neuronal models of developmental, neuropsychiatric, and neurodegenerative disorders.
• Oversee mechanistic interpretation of molecular signatures to uncover therapeutically actionable targets.
• Work in a unique translational genomics environment within the CGM, which seeks to integrate computational genomics, technology development, and molecular genomics methods.
• Work on 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.
• Develop systematic computational frameworks for the integration and mechanistic interpretation of large-scale genomics datasets.
• Synthesize multi-omics signals into coherent biological models that reveal the molecular underpinnings of disease.
• Drive the identification and prioritization of high-confidence targets for downstream molecular investigation and therapeutic development.
• Be based at MGH under the guidance and mentorship of Dr. Michael. Talkowski.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree