Mgh Postdoc Jobs (NOW HIRING)

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, hbrand1@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 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.
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, 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

Interested applicants should submit their CV and contacts for references to: mtalkowski@mgh.harvard.edu, hbrand1@mgh.harvard.edu, and lsmith66@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
Hybrid
Work Location
185 Cambridge 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.