Research Fellow

Mass General Brigham • Boston, MA

4d • $73,544 - $81,179 • Onsite

About The Position

The laboratory of Dr. Sarah Urbut, affiliated with Mass General Brigham’s Heart and Vascular Institute’s Cardiovascular Research Center, the Broad Institute of Harvard & MIT, and Harvard Medical School, is seeking a Research Fellow. This position focuses on principled method development for integrating electronic health records (EHR) with genetics for prediction and discovery. The role involves dynamic modeling using multimodal data and causal inference for Bayesian analysis of EHR across various cohorts, biobanks, and clinical trials. The successful candidate will work with diverse genetic and multi-omics datasets, collaborating with an interdisciplinary team. The research aims to address the high prevalence of cardiovascular disease through innovative studies for therapeutic development and diagnostic tools. The position offers a unique opportunity to contribute to cutting-edge biomedical research within vibrant academic environments in Boston.

Requirements

• 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.
• Exceptional oral and written communication skills.
• Strong background in computational biology and bioinformatics.
• Strong demonstrable proficiency in Linus, R, python and AWS use.
• Strong facility with cloud computing.
• Prior experience in human genetic analyses and bioinformatics analyses of publicly available datasets.
• Ability to adapt to rapidly changing and high-demand environments.

Nice To Haves

• Strong skills in statistical analyses are highly preferred.
• Familiarity with next-generation sequence data analysis tools strongly preferred.
• Knowledge of cardiovascular disease is not required.

Responsibilities

• Construction and implementation of cloud-based pipelines for genomic, polygenic risk scoring, and biostatistical analyses.
• Processing and quality control of next-generation sequence 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 robust synchronization with existing datasets and databases.
• Phenotypic derivation 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.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree