Harvard Medical School and Brigham & Womens Hospital
Postdoctoral Position in Computational Neuroscience
Do you want to use your computational skills to solve brain disease? We are looking for an exceptional candidate for a Postdoctoral Position in Computational Neuroscience in the Neurogenomics Laboratory (www.scherzerlaboratory.org) and Center for Advanced Parkinson Research (www.bwhparkinsoncenter.org), both led by Clemens Scherzer, MD, at Harvard Medical School and Brigham & Womens Hospital. We are decoding causes and developing new therapies for neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease using large-scale single-cell RNA sequencing of human brain cells, whole genome, transcriptome, metabolome analyses of large patient cohorts, combined with Electronic Health Records, systems biology, and machine learning.
Our laboratory is unique as it combines a strong computational neuroscience group (including computer scientists, engineers, and a statistician) with bench scientists and a clinical research group. This interdisciplinary expertise allows new, surprising discoveries and development of new methods using computational and systems biology, that then are experimentally tested using molecular biology and evaluated in real-world patients using our biobank samples and longitudinal cohorts. We are particularly interested in using single cell RNA sequencing and sequencing of noncoding RNAs to understand how GWAS variants cause specific brain cells to die (Dong et al., Nature Neuroscience, 2018). We are working on prediction and prevention of disease progression in patients (e.g. Liu et al., Lancet Neurology, 2017) and on repurposing of drugs for Parkinson’s patients (e.g. Mittal et al., Science, 2018) using genome sequencing, multi-modal, multi-scale omics, big health data, and machine learning.
Your qualifications. We want you to have (1) one prior original article as first author; (2) a Ph.D. or equivalent doctoral degree (preferably in bioinformatics, computer science, or statistical genetics); (3) research experience in bioinformatics and analyses of genome-wide data (for example, single cell RNA sequencing, whole genome sequencing, GWAS, eQTL, AI methods, RNA-sequencing); (4) strong quantitative skills preferably in computer science, bioinformatics, or statistics are necessary; (5) programming background is necessary (e.g. R); (6) excellent written and spoken English. Candidates dedicated to succeeding in an academic research career are preferred and such career paths are available.
Apply. Please submit (1) your biosketch, (2) a cover letter outlining your research interests and goals, and (3) contact information for three references to Dr. Clemens Scherzer at firstname.lastname@example.org and cc to Marilyn Sullivan at email@example.com.