We are looking for outstanding candidates to pursue innovative studies in retinal health and disease. The selected candidate(s) will join an interdisciplinary and collaborative team of scientists working on integration of extensive genetic, epigenome and proteomic datasets to elucidate regulatory networks and biological pathways associated with development, aging, neurodegeneration and evaluation of therapies.
Applicants should have received a Ph.D. within the last two years or a B.S./M.S. degree within the last five years in Statistical Genetics, Bioinformatics, Computer Science, or similar quantitative fields. Successful candidates will possess strong computational skills, ability to work with large datasets and excellent communication skills. Special consideration will be given to candidates with experience in machine learning and network analysis. Previous involvement in biomedical research is not essential, but some knowledge of biology will be beneficial. Annual stipend will be commensurate with experience and training.
For more information, visit https://nei.nih.gov/research/research-labs-and-branches/neurobiology-neurodegeneration-repair-laboratory.
Interested applicants should submit a cover letter with career goals, curriculum vitae, and contact information of three references to Anand Swaroop, Ph.D., Senior Investigator and Chief, NNRL/NEI/NIH at email@example.com
The NIH is dedicated to building a diverse community in its training and employment programs. DHHS, NIH, and NEI are Equal Opportunity Employers.