Please follow this link for all descriptions of all positions: https://openwetware.org/wiki/HughesLab:Open_Positions
The Hughes Lab is located in the Division of Pulmonary and Critical Care Medicine at Washington University in St. Louis. We are seeking talented applicants for a pre- or post-doctoral position studying the effects of aging on skeletal muscle and mobility disability.
This posting includes only one job description. Multiple are available at the link above.
In collaboration with the Study of Muscle Mobility and Aging (SOMMA), we will use RNA-sequencing to profile gene expression in several hundred skeletal muscle biopsies from subjects aged 70 years and older. We therefore have access to a new and unique dataset describing the physiological changes associated with aging. Consortium members will (1) identify subjects who develop mobility disability during the five year term of this project, (2) measure mitochondrial function from the same biopsies, (3) measure autophagic flux and protein turnover, and (4) use MRI imaging to measure structural changes in muscle. Ancillary studies will measure metabolism in white fat and gene expression changes in blood cells. In short, this is a data gold mine, and we have the opportunity to use these resources in combination with machine learning to identify gene expression markers and putative molecular mechanisms underlying muscle aging with direct implications for human health.
Salary will be commensurate with qualifications and experience. The strongest candidates will have experience in some combination of skeletal muscle biology, bioinformatics, and human genetics. Candidates should apply by emailing their cover letter, curriculum vitae, and the names of three references to Dr. Michael Hughes: michael.hughes@wustl.edu.
Minimum qualifications:
- PhD or equivalent in Biomedical sciences or admission to the DBBS program at Washington University
- Comfort and experience working with molecular biology and genetics
Knowledge, Skills, and Abilities:
- Bioinformatics, R, SQL, Python, etc.
- Fluency in molecular biology and genetics
- Ability to work well in a team of scientists from diverse backgrounds
