Post-Doctoral Fellow - Computational Biology

The Pediatric and Adolescent Gynecology Lab is searching for a postdoctoral fellow with experience in computational biology and functional genomics. Our laboratory studies ovarian biology and function in children and adolescents with disease conditions associated with premature ovarian insufficiency. We are using single nucleus RNA-seq and spatial transcriptomics techniques to elucidate mechanisms of follicle loss in conditions such as Galactosemia, Turner syndrome and autoimmune disorders. The successful candidate will be engaged in projects to perform single-cell RNA-seq / spatial transcriptomics analysis, multi-omics analyses to harness the full range of biologically relevant data to better understand ovarian function and cell-cell communication between different ovarian cell types in a disease condition.

• Ph.D. in Computational Biology or Bioinformatics with experience in analysis and interpretation of high-throughput genomics and spatial biology data.
• Must have demonstrated experience analyzing multi-omics data such as single-cell RNA-seq, spatial transcriptomics & ATAC-seq analyses.
• Strong knowledge and experience in programming languages such as R, Python, Bash and handling large-scale computational tasks/datasets .
• Experience with network-based analyses, knowledge-based functional annotation of signaling pathways, developing data visualization tools, and spatial deconvolution methods is highly desirable.
• An interest in applying computational methods to solve complex biological problems.
• Demonstrate excellent communication skills, written and verbal as evidenced by publications, and conference presentations.
• Ability to work independently and in a collaborative manner with a diverse group of scientists and clinicians.
• Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting.

U.S. citizens and permanent residents are eligible to apply. NIH welcomes foreign nationals with the exception of individuals from this list.