Post-Doctoral Research Fellow – Functional Genomics

1300 Massachusetts General Physicians Organization, Inc.; Boston (MA); On-site; USD 60,000 - 80,000; Full time

Job summary

1300 Massachusetts General Physicians Organization, Inc. is looking for a Postdoctoral Fellow in Computational Biology. The role involves overseeing research initiatives in genomics and neurobiological studies. Candidates will leverage advanced bioinformatics tools to analyze multi-omics data and work collaboratively within an interdisciplinary team.

Applicants should possess a recent PhD and demonstrate a proven track record in scientific publications. This opportunity is onsite at Massachusetts General Hospital with mentorship from Dr. Michael Talkowski.

Qualifications

• First (or co-first) author of one or more peer-reviewed scientific publications.
• Recent PhD graduate with relevant expertise.
• Able to work independently and as part of a team.

Responsibilities

• Direct collaborative research initiatives in computational biology.
• Oversee functional genomics analyses and multi-omics data integration.
• Develop systematic computational frameworks for genomic data.

Skills

Scientific publication experience

Excellent communication skills

Bioinformatics tools

Programming skills (R, Python, C++)

Statistical methods

Neurobiology knowledge

Next-generation sequencing data analysis

Education

Doctoral Degree

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: du, du, and du 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.

Principal Duties and Responsibilities

Highly qualified candidates would oversee one or more of the following studies:

• Functional genomics analyses from human iPSC‑derived neuronal cells or three‑dimensional organoid models modified using CRISPR/Cas9 genome editing.
• Multi‑omics data integration to define the functional impact of genomic variation and editing across neuronal models of developmental, neuropsychiatric, and neurodegenerative disorders.
• Mechanistic interpretation of molecular signatures to uncover therapeutically actionable targets.

At the Broad Institute, these collaborative projects span the Stanley Center for Psychiatric Research, and the Program in Medical and Population Genetics. Candidates work with cutting‑edge data types such as single‑cell transcriptome sequencing, Hi‑C studies of 3D topology, ATAC‑seq, 4C‑seq, and other datasets in iPSC‑derived neurons and organoid models of neurodevelopment. They 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 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.

Visa sponsorship is available for Postdoctoral Fellows.

Qualifications

SKILLS & COMPETENCIES REQUIRED:

• 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, RNA‑seq, ATAC‑seq, ChIP‑seq, scRNA‑seq, etc.).

Additional Job Details

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: 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.