Research Fellow - Computational Cardiology Research, Honigberg Lab, MGH Cardiovascular Research[...]

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. The laboratory of Dr. Michael Honigberg at the Massachusetts General Hospital Cardiovascular Research Center (CVRC) and Broad Institute of MIT & Harvard has a unique post‑doctoral fellow position open for a highly qualified applicant interested in investigation at the intersection of cardiovascular, reproductive, and aging biology. The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post‑Doctoral Fellow at Harvard Medical School. The Honigberg lab aims to advance mechanistic understanding of emerging cardiovascular risk factors and inform new paradigms for health promotion and disease prevention. Current projects focus on pregnancy (e.g., preeclampsia/eclampsia), menopause, aging biology, and novel lipid‑modifying therapies, among other topics. Key Responsibilities Construction and implementation of cloud‑based pipelines for genomic, polygenic risk scoring, and biostatistical analyses. Processing and quality control of next‑generation sequencing data. Processing and quality control of multi‑omics data. Statistical analyses of genotype‑phenotype association analyses, with summarization and graphical representations. Organizing, manipulating, and harmonizing new datasets across different formats and synchronizing with existing datasets and databases. Phenotypic curation from electronic health record structured and unstructured data. Construction, implementation, and sensitivity analyses of biostatistical models in classical epidemiology, genetic epidemiology, and machine learning. Lead and contribute to manuscript preparation as well as internal and external project‑team reports. Actively participate and present in project meetings and lab meetings. Required Skills & Competencies Doctoral degree in computational biology, biomedical informatics, biostatistics, statistical genetics, genetic epidemiology, or computer science. First (or co‑first) author of one or more peer‑reviewed scientific publications. Excellent English verbal and written communication skills. Ability to work independently and in a team. Strong record of productivity, motivation, adaptability, and collaboration. Exceptional oral and written communication skills. Strong background in computational biology and bioinformatics. Strong skills in statistical analyses are highly preferred. Proficiency in UNIX, R, Python, and Perl; familiarity with Java, Matlab, C, C++ preferred. Strong facility with cloud computing. Prior experience in human genetic analyses and bioinformatics analyses of publicly available datasets. Familiarity with next‑generation sequence data analysis tools strongly preferred. Ability to adapt to rapidly changing and high‑demand environments. Knowledge of cardiovascular disease is not required. The expected annual salary range will be commensurate with the candidate’s experience and qualifications, and institutional guidelines. Review of applications will begin immediately and continue until the position is filled. Qualified candidates should send a CV, a cover letter, and contact information for three references to Dr. Michael Honigberg (View email address on click.appcast.io). Find out more about our lab’s research: Location: 185 Cambridge Street, Cambridge, MA. Hours: 40 hours per week (day shift). Massachusetts General Hospital 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. #J-18808-Ljbffr Massachusetts General Physicians Organization, Inc.