Post-Doctoral Research Fellow – gnomAD-LR

Postdoctoral Fellow 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 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 include:

• Working in a unique translational genomics environment within the CGM, which seeks to integrate computational genomics, technology development, and molecular genomics methods.
• Analyzing large-scale genome sequencing datasets of millions of individuals over the next several years and contributing substantially to cutting-edge research initiatives.
• Being based at MGH under the guidance and primary mentorship of Dr. Michael Talkowski.

Skills and competencies required:

• 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.
• 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.

Interested applicants should submit their CV and contacts for references to: mtalkowskivard.edu, hbrand1vard.edu, and lsmith
66vard.edu.

Please do not apply through this link.

Mass General Brigham 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.