Post-Doctoral Research Fellow – Functional Genomics

Mass General Brigham
Location
Boston-MA
Job Type
Full-time
Posted
May 24, 2026
Views
27

Job Description

Site: Massachusetts General Physicians Organization, Inc.


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Please send your CV/Resume and Cover Letter directly to: mtalkowski@mgh.harvard.edu, ryadav1@mgh.harvard.edu, and lsmith66@mgh.harvard.edu 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.


Qualifications

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.)
Site: Massachusetts General Physicians Organization, Inc.


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

Please send your CV/Resume and Cover Letter directly to: mtalkowski@mgh.harvard.edu, ryadav1@mgh.harvard.edu, and lsmith66@mgh.harvard.edu 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.


Qualifications

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:mtalkowski@mgh.harvard.edu,ryadav1@mgh.harvard.edu, andlsmith66@mgh.harvard.edu

Please do not apply through this link.


Additional Job Details (if applicable)

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


Remote Type

Onsite


Work Location

55 Fruit Street


EEO Statement:

1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Frequently Asked Questions

Where is this job located?
This position is located in Boston, MA, and is on-site.
What are the required qualifications for this role?
Candidates should have a Ph.D. in human genetics, quantitative genetics, computational biology, bioinformatics, and/or computer science. A strong background in human or statistical genetics is expected.
What are the main responsibilities of the Post-Doctoral Research Fellow?
You will direct collaborative research initiatives to determine the functional impact of genomic variations in developmental, neuropsychiatric, and neurodegenerative disorders.
Does Mass General Brigham provide visa sponsorship?
Yes, visa sponsorship is available for Postdoctoral Fellows.
How do I apply for this position?
Submit your CV/Resume and Cover Letter directly to mtalkowski@mgh.harvard.edu, ryadav1@mgh.harvard.edu, and lsmith66@mgh.harvard.edu. Do not apply through the link on the job board.
Who will I be reporting to?
You will be based at MGH under the guidance and mentorship of Dr. Michael Talkowski.

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Job Information

Source: workday
AI Relevance: 85/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Boston-MA
Skills & Tags:
mass general brigham pharma

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