Postdoctoral Fellowship - Neurodegenerative Disease & Aging
Posted 10 Dec 2019
University of Pennsylvania
The Penn Bioinformatics in Neurodegenerative Disease Laboratory (Penn BiND) led by Corey McMillan is currently seeking a qualified applicant for a postdoctoral fellowship. The mission of the Penn BiND Lab is to use an integrative strategy leveraging multimodal and bioinformatic approaches to improve our understanding of the biological basis and heterogeneity of neurodegenerative conditions. This clinical-translation research program focuses on using biologically grounded hypothesis testing along with data-driven novel bioinformatic approaches for relating large-scale ‘omic' data (e.g., genomics, DNA methylation, transcriptomics) to deep phenotyping data (e.g., imaging, biofluids, clinical series, neuropathology). The lab aims to identify phenotype-genotype associations that can be used to uncover mechanisms of disease and/or stratify diverse patients to define homogenous patient groups with a higher likelihood of achieving a therapeutic response. It primarily focuses on two classes of neurodegenerative proteinopathies including the misfolded tau protein that contributes to Alzheimer’s disease (AD), primary age-related tauopathy (PART), and frontotemporal lobar degeneration (FTLD), as well as the TDP-43 protein that contributes to a spectrum of FTLD and amyotrophic lateral sclerosis (ALS).
The Penn BiND Lab is a highly interdisciplinary environment based in the Neurology Department of the Perelman School of Medicine at the University of Pennsylvania. It works closely with clinicians in the NIA-funded Alzheimer Disease Center (ADC), Penn Frontotemporal Degeneration Center (FTDC), and Comprehensive ALS Clinic as well as several national and international consortia. The lab is also integrated into the FTDC and associated research centers at the University of Pennsylvania including the Institute on Aging (IoA), Penn Neurodegeneration of Genomics Center (PNGC), Institute for Translational Medicine and Therapeutics (ITMAT), and Neuroscience Graduate Group (NGG). The “dry lab” additionally works very closely with several “wet labs” at Penn to validate our bioinformatic observations in human or model specimens.
The ideal candidate must have a Ph.D. in a relevant area (e.g., neuroscience, neurology, bioengineering, genetics, computational biology, biostatistics, etc. …) and either (1) bioinformatics or data science experience they are interested in applying to neurodegenerative disease and aging; (2) experience in the genetics of neurodegenerative disease; (3) MRI/PET image analysis experience they are interested in applying to ‘omic' studies (e.g., imaging-genetics); or (4) a strong broad interest in neurodegenerative diseases that include AD or ALS and eagerness to learn and apply new computational or imaging tools. Some combination of the above skills and interests is preferred.