The Gladyshev Lab at Brigham & Women’s Hospital (BWH) and Harvard Medical School invites applicants for the position of bioinformatics analyst, working on analyzing epigenetic datasets, genomics data sets, single cell genomics datasets, and other omics data to understand the nature of aging and lifespan control and develop interventions to target the aging process. The ideal candidate will have a background in data sciences, machine learning and various computational methods and have a strong desire to apply these to find patterns in large biological datasets. The role requires motivation and strong problem-solving skills as well as the ability to efficiently communicate and interact with colleagues and collaborators.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Develops aging clocks and other bioinformatics pipelines.
- Calculates, transcribes, and analyzes data using advanced statistical techniques.
- Performs literature searches and helps to prepare presentations and written articles for publication.
- In collaboration with PI establishes new and modifies existing research techniques.
- All other duties as assigned.
BS or MS in computational field, with substantial coursework in computer science, physics, or statistics
- Sound degree of computer literacy
- Scripting skills with R, Python, or similar programming language
- Ability to work independently
- Experience working in a team
- Good interpersonal and communication skills
- Good organizational skills
- Ability to communicate ideas and results effectively
A climate controlled environment with minimal safety/health hazard potential. Sedentary, sitting, walking, occasional lifting (overhead, waist level) from floor, bending, frequent near vision use for reading and computer use. Due to COVID-19, some work may be done remotely.
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