Job Summary
Multiple sclerosis (MS) is a devastating autoimmune disease of the central nervous system. We recently published a Genome-wide association analysis (GWAS) identifying the first locus associated with disease severity (Nature 619:323–331; 2023). With this valuable information, the next step is to conduct functional studies that can pinpoint the biological effects of the identified GWAS signals.
The chosen Postdoctoral Associate will work on functional characterization of the recent severity MS-GWAS signals to understand the molecular basis of observed genetic associations. The position will focus heavily on functional analysis of high-throughput bulk and single-cell multi-omic data (including ATAC-seq, RNA-seq) from relevant tissues. The ideal candidate will have strong genomics and molecular biology skills (e.g. cell-based reporter assays) and some experience in programming is desirable, but not required. Must demonstrate scientific productivity, rigor, and creativity with a strong publication record in peer-reviewed scientific journals.
Job Duties
- Plan, conduct and analyze research projects.
- Hands-on experience in library preparation for next-generation sequencing (NGS) experiments.
- Perform a wide range of cellular and molecular biology techniques, such as cell culture, CRISPR-mediated genome editing and luciferase assays.
- Apply intellectual curiosity and passion for applying data science to biomedical problems.
- Summarize, visualize, and communicate research and analyses findings to principal investigator and for research publications in scientific journals.
Minimum Qualifications
- MD or Ph.D. in Basic Science, Health Science, or a related field.
Preferred Qualifications
- Ph.D. in human genetics, cell biology, molecular biology, or other related field
- Proficient at genomics and cellular/molecular in-vitro assays and techniques