Post-Doctoral Research Fellow – Functional Genomics

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 The salary range for this position is $70,000 to $ 71,750 annually. Please send your CV/Resume and Cover Letter directly to: [email protected], [email protected], and [email protected] 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. C andidates 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: [email protected] , [email protected] , and [email protected] 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.