Post-Doctoral Research Fellow – Functional Genomics

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Job Summary

The salary range for this position is $70000 to $ 71750 annually.
Please send your CV/Resume and Cover Letter directly to: and for this position. A linked application is not available.

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.


PRINCIPAL DUTIES AND RESPONSIBILITIES:

The Postdoctoral Fellow will have the opportunity to work in a unique translational genomics environment within the CGM which 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 and the Program in Medical and Population Genetics. 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. They will develop systematic computational frameworks for the integration and mechanistic interpretation of large-scale genomics datasets synthesizing multi-omics signals into coherent biological models that reveal the molecular underpinnings of disease. These efforts will drive the identification and prioritization of high-confidence targets for downstream molecular investigation and therapeutic development.

The Postdoctoral Fellow will be based at MGH under the guidance and mentorship of Dr. Michael. Talkowski.

SKILLS & COMPETENCIES REQUIRED:

The ideal candidate should have received (or expect to receive soon) a Ph.D. in human genetics quantitative genetics computational biology bioinformatics and/or computer science. Competitive candidates will have a strong background in human genetics statistical genetics and/or computational biology and prior exposure to genome and transcriptome sequencing datasets. Candidates will need 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
• Knowledge of neurobiology is a huge plus
• Expertise in analyzing next-generation sequencing data (i.e. WGS WES RNAseq ATACseq ChIP-seq scRNAseq etc.)

Interested applicants should submit their CV and contacts for references to: and

Please do not apply through this link.

LICENSES CERTIFICATIONS and/or REGISTRATIONS:

Not Applicable

EDUCATION:

Minimum Required: Doctoral Degree

Preferred: Doctoral Degree

Field of Study/Additional Specialized Training:

Not Applicable

Equivalent Experience:

Not Applicable

EXPERIENCE:

Required: Recent PhD graduate

SUPERVISORY RESPONSIBILITY (authority to hire promote or terminate):

Not Applicable

FISCAL RESPONSIBILITY:

Not Applicable

Hybrid

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