Post-Doctoral Position Studying the Genomics of Complex Childhood Disorders

An NIH-funded postdoctoral position is available in the Childhood Complex Disease Genomics Section (CCDGS),  a new section in the Center for Precision Health Research (https://www.genome.gov/about-nhgri/Division-of-Intramural-Research/Center-for-Precision-Health-Research) at the National Human Genome Research Institute (NHGRI) in Bethesda, Maryland under Dr. Neil Hanchard (https://www.genome.gov/staff/Neil-A-Hanchard-MBBS-DPhil).

The lab is studying a broad portfolio of childhood disorders - including severe undernutrition, sickle cell disease, and early-onset high blood pressure - in African- and African-ancestry populations. The successful candidate will be responsible for conducting genome-wide analyses of the development of red cell antibodies following blood transfusions in persons with sickle cell disease. The project includes leveraging publicly available datasets and conducting targeted functional studies utilizing single cell technologies. The anticipated work includes the integration of population genetics with models of admixture and  local ancestry to map risk loci, and intersects with other mapping studies being conducted within the lab. The position includes ample opportunities to create, develop, and expand novel methods of assessing genome-level variation in a variety of human diseases and populations.

To Apply:

Interested candidates should submit their curriculum vitae, a brief statement of their research interests (maximum 250 words), and the  names and contact information for two references to Ava Miller at ava.miller@nih.gov or Neil Hanchard neil.hanchard@nih.gov.

Qualifications:

Candidates should have, or be very close to obtaining, a Ph.D. in bioinformatics, biostatistics, human genetics/genomics, or a related field. Candidates familiar with specialized bioinformatics programs for  human genetic analyses, including public genome resources and databases, genetic epidemiology and statistics, population genetics, or complex trait analyses are especially encouraged to apply. Strong computational skills and a familiarity with statistics are essential, as are good communication skills. International candidates with experience in human genetic and genomic analyses are welcome to apply.