The Post-Doctoral Associate will identify genes, genome-wide polygenic scores, and clinical features associated with progression of Parkinson’s disease. The Post-Doctoral Associate will develop predictive, gene-regulatory networks linked to Parkinson’s and other neurological diseases in the Neurogenomics Lab at the Adams Center of Yale School of Medicine. Working with Dr. Clemens Scherzer and our compute group, the Associate will delineate human multi-omics and multi-modal atlases of Parkinson’s disease, and identify causal genes and variants using xQTL analysis and integrating our data sets from hundreds of brains (sn-RNAseq, sn-ATAC-seq, sn-long-read PacBio RNAseq, high-resolution spatial transcriptomics with Visium and Xenium, personal whole genomes, clinical phenotypes) and thousands of patients (whole genomes, RNAseq, proteomics, metabolomics, longitudinal clinicometrics). We have an expert multi-disciplinary lab dedicated to precision medicine, and teams of compute, neuroscience, and clinical experts. We have multi-year funding for these positions from our Aligning Science Across Parkinson’s disease (ASAP), NIH, and the Yale Adams Center. Read more about our work at https://www.scherzerlaboratory.org | https://medicine.yale.edu/news-article/precision-medicine-for-parkinsons-disease-is-focus-of-new-yale-center/ | https://www.linkedin.com/in/clemens-scherzer-md-812b72130/
Candidates should have a Ph.D. in a relevant quantitative field (e.g. computer science, Bioinformatics, Statistics, Computational Biology), a strong background in machine learning or statistics, and a keen interest in neurobiology. Previous experience in topics such as gene-regulatory networks, xQTL analysis (splicing, expression, chromatin accessibility, dynamic, etc. QTLs), spatial transcriptomics, and/or integration of multi-modal, multi-omics data sets would be an asset for these positions. The positions are ideal for bioinformatics experts as well as for candidates with an expert programming background who are looking to move into computational biology.
Applicants should send a CV including a list of publications, programming languages, a statement of research interests, two letters of recommendation, contact information for three referees to clemens.scherzer@yale.edu and zechuan.lin@yale.edu.