Research Fellow at the MGH Cardiovascular Research Center's Honigberg Lab

Principal Duties & Responsibilities:

The successful candidate will work closely withDr. Honigberg, members of the Honigberg Lab, and other trainees and faculty at the MGH CVRC and Broad Institute. The successful candidate will be closely supervised by Dr. Honigberg. The successful candidate will have robust facility in computational genetics and bioinformatics. Projects will range from genomic discovery and in silico investigations of genetic mechanisms of disease, risk prediction, phenotype curation using electronic health record data, multi-omic analysis, and Mendelian randomization for causal inference.

Overall, this is a unique opportunity to engage in cutting edge science and make a central contribution to biomedical research. In addition, MGH and the Broad Institute provide vibrant research environments with close links to top academic and industry networks across the Greater Boston area and the world.

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 synchronization 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.

Skills & Competencies Required:

The ideal candidate should have received (or expect to receive soon) a PhD.

• 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.

• Able to work both independently and in a team.

• Strong record of productivity, motivation, adaptability, and collaboration.

• Exceptionaloral and written communication skills.

• Strong background in computational biologyandbioinformatics.

• Strong skills in statistical analyses are highly preferred.

• Strongdemonstrableproficiency in UNIX,R, Python, and Perl; facility with Java,Matlab, C, C++ preferred.

• Strong facilitywith cloud computing.

• Priorexperience 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.

EEO Statement

Massachusetts General Hospital is an Equal Opportunity Employer.By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.