Job description
The Kane lab at the Institute for Systems Biology is seeking a highly motivated Postdoctoral Fellow interested in the biology of aging to lead projects focused on understanding, measuring and predicting heterogeneity in aging, and particularly identifying determinants and biomarkers of frailty. The ideal candidate will have experience in mouse models, epigenetics, and/or computational modelling of large datasets. Current projects include the analysis of large-scale longitudinal aging mouse datasets (health data eg. behavior, whole blood counts, grip, ECG, and molecular data eg. metabolomics, transcriptomics, DNA methylation, gut microbiome) and exploration of longitudinal epigenetic (histone marks, DNA methylation, transcriptome) markers of frailty.
This role will work closely with the PI, as well as other collaborators and offers the freedom to pursue one’s own research interests. As a key part of a growing lab, this position offers opportunities for leadership and career advancement. Postdoc salaries at ISB are very competitive, and there is the opportunity to substantially supplement salary with local fellowship funding for excellent candidates.
Successful candidates should have (or shortly be awarded) a Ph.D. in Biology, Systems Biology, Physiology, Computational Biology, Biological or Biomedical Engineering, or a related field. We are looking for candidates with experience in the biology of aging, and at least one of the following areas: aging mouse models, epigenetic analysis, and/or predictive modelling. Candidates should have excellent organization and communication skills, and will be expected to manage projects, submit papers for publication and contribute to grant writing.
Applicants should include a CV and a brief (1-page) cover letter summarizing their background, future research interests and fit for this position.
ISB is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
Job Type: Full-time
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