Post-Doctoral Research Fellow - gnomAD-LR

Mass General Physicians Organization; Boston (MA); On-site; USD 70,000 - 71,750; Full time

Job summary

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 for a collaboration spanning multiple leading institutions.

The goal is to advance long-read genome sequencing and build a population reference database for variant interpretation.

Qualifications

• Ph.D. in human genetics, quantitative genetics, computational biology, bioinformatics, computer science, physics, or mathematics.
• Strong background in human genetics, statistical genetics, and/or computational biology.
• Experience with genome and transcriptome sequencing datasets.
• Excellent English communication and collaboration across institutions.
• First (or co-first) author of one or more peer‑reviewed publications.

Responsibilities

• Oversee long-read genome sequencing (lrGS) project and contribute to population reference database development.
• Collaborate across CGM, Broad Institute, and Harvard Medical School.
• Analyze large-scale genome sequencing datasets spanning millions of individuals.

Skills

PhD in genetics

Bioinformatics

Computational biology

Programming (R, Python, C++)

NGS data analysis

Interpersonal skills

Education

Doctoral Degree

Tools

Bioinformatics tools and databases

Job description

The salary range for this position is $70,000 to $71,750 annually.

Please send your CV/Resume and Cover Letter directly to: [e-mail], [e-mail], and [e-mail] 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 contribute to collaborative research initiatives aimed at discovering genomic variation and determining its functional impact in developmental anomalies and neuropsychiatric disorders.

Highly qualified candidates would oversee a long-read genome sequencing (lrGS) project, which aims to leverage technical advances, innovative methods, and transformative lrGS initiatives to develop a population reference database for long-read genomes (gnomAD‑LR). Our goal is to enable broader lrGS adoption and improved variant interpretation, disease gene discovery, and association studies.

The candidate will be appointed as a Research Fellow at Massachusetts General Hospital, a Post‑Doc at Harvard Medical School, and an Associate 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, the Program in Medical and Population Genetics, and the Data Sciences Platform. Candidates will have the opportunity to analyze large-scale genome sequencing datasets of millions of individuals over the next several years and contribute substantially to cutting‑edge research initiatives.

The Postdoctoral Fellow will be based at MGH under the guidance and primary 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, computer science, physics, or mathematics. 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
• Outstanding recommendations from prior research supervisors
• Excellent English verbal and written communication skills
• Able to work both independently and collaboratively
• Experience with commonly used bioinformatics tools and databases
• Programming skills (e.g., R, Python, C++, etc.)
• Advanced knowledge of statistical methods
• Expertise in analyzing next-generation sequencing data
• Ability to thrive in a dynamic, fast-paced setting with multiple overlapping and shifting objectives

Additional Information

Licenses, certifications, and/or registrations: Not applicable.

Education: Minimum required: Doctoral Degree. Preferred: Doctoral Degree.

Field of Study / Additional Specialized Training: Not applicable.

Experience: Required: Recent PhD graduate.

Equal Opportunity Statement

Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.