Computational Biologist, Non-coding RNA field
- Employer
- Brigham and Women's Hospital
- Location
- Boston, Massachusetts (US)
- Salary
- Salary commensurate with level of training.
- Closing date
- Feb 8, 2021
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- Discipline
- Life Sciences, Computational Biology, Health Sciences, Cardiovascular
- Position Type
- Full Time
- Job Type
- Postdoc, Research Scientist, Staff Scientist
- Organization Type
- Academia
A computational biologist position is available at Brigham and Women’s Hospital/ Harvard Medical School, Boston. This will require specific bioinformatics skill sets in computational network biology and systems biology applicable to the field of non-coding RNA and cardiovascular disease states. The candidate will be expected to conduct exploratory discovery and validation dataset analysis and design and execute analysis independently and collaboratively with other scientists in the lab related to evoutionary conserved non-coding RNAs and their targets from mice to human subjects with ischemic cardiovascular disease or diabetes.
The laboratory's research is interested in understanding the role of non-coding RNAs (miRNAs/lncRNAs) and their signaling pathways/targets in a range of vascular disease states including atherosclerosis and ischemic injury in the heart and limb. The specific projects deal with understanding the network biology associated with the mechanisms and functions of identified non-coding RNAs in tissues and cell types important to cardiovascular disease and diabetes.
Requirements:
Candidate must have a strong background in bioinformatics/computational biology, outstanding written and verbal communication skills, be self-motivated, have demonstrated productivity, and ability to be independent while also working in a team environment. Experience with R, Python (programming and related computational packages) and in designing and analysis of bulk genomic, transcriptomic, or epigenetic datasets including NGS, RNAseq, or single cell Seq studies is strongly preferred. Knowledge of various common large public datasets and prediction algorithms related to non-coding RNA biology is helpful.
Degree Required: BA/BS, MS, or Ph.D. in computational biology, bioinformatics, systems biology, computer science or related field.
Interested candidates are asked to send curriculum vitae and name/contact information of 3 references to: Mark Feinberg, MD, Associate Professor of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115; EMAIL to: mfeinberg@bwh.harvard.edu
The Brigham and Women’s Hospital is an equal opportunity / Affirmative Action employer. Women and minority candidates are encouraged to apply.
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