Our lab (https://smontgomlab.github.io/) studies the molecular mechanisms of genetic diseases. We are looking to recruit a postdoctoral researcher interested in leading investigations in these broad research areas:
• Rare variants in genetic diseases. Using multi-omics and MPRA approaches, we seek to identify rare variants contributing to a range of pathologies with a specific focus on rare genetic diseases, mental health, and neurodegenerative diseases. Relevant consortia our lab is a part of include GREGoR (http://gregor.stanford.edu), IGVF, dGTEx and the ADSP Functional Genomics Consortium.
• Gene-by-environment multi-omic studies. Using bulk and single-cell multi-omics approaches, we seek to understand how different environments impact gene function and contribute to disease risk. We are currently involved in generating extensive human multi-omics data in response to acute exercise and exercise training in the Molecular Transducers of Physical Activity Consortium (https://www.motrpac.org/).
In this role, you will be able to contribute to multiple consortia, train/mentor students, build computational pipelines and reproducible analyses in large-scale datasets, and visualize/present results to various audiences.
● PhD in a field related to genetics/genomics, biocomputing/bioinformatics, or statistics
● Programming experience in UNIX, R and/or Python
● Familiarity with high-performance and/or cloud computing
● Willingness to collaborate and interact with others, evidence of professionalism
● Evidence of prior publication(s) and conference/oral presentations
● Development of bioinformatics analysis pipelines, workflows (e.g., snakemake), and code version control (e.g., git) tools and/or experience with standard bioinformatic tools (e.g., bedtools, vcftools)
● Statistical analysis experience and/or a working understanding of biological systems
● Commitment to advancing diversity, equity, and inclusion
● Experience as a science mentor
● Experience in any of the following: RNA-seq, other functional genomics, single cell approaches, human genetics/genomics, variant calling, multi-omic integration, rare disease, neurodegenerative or neuropsychiatric disease and exercise science