We are seeking an innovative Bioinformatician who will be integral in a multidisciplinary effort to identify markers of selective vulnerability in neurodegenerative diseases, with the goal of developing effective therapeutic strategies.
The ideal candidate has a strong background in bioinformatics, computer science or software engineering, as well as general experience in the life sciences. Working with neuropathologists, neurologists, and neuroscientists, they will help design and implement analyses of high dimensional data (e.g., single-cell RNA sequencing, genotype or WGS data, proteomics, etc.) from human brain tissue, utilizing bioinformatics tools and databases to reach biologically meaningful insights. Successful candidates should be scientifically motivated self-starters, comfortable working in a highly productive academic environment, and keen on modeling biological processes using rich datasets.
This position presents an outstanding training experience for a computational/bioinformatics scientist seeking to break into dementia, Alzheimer’s disease, and the larger neurodegenerative disease field. Neurodegenerative conditions, including Alzheimer’s disease and frontotemporal lobar degeneration selectively target specific neuronal subpopulations, making identification of molecular signatures of these vulnerable populations imperative for achieving effective treatment.
The candidate will work with a multidisciplinary team as part of the Weill Neurohub, which brings together world-class researchers and clinicians at three premier West Coast research institutions to speed the development of new treatments for neurological and psychiatric diseases. The primary appointment will be with the Memory and Aging Center at UCSF at the Grinberg (grinberglab.ucsf.edu/) and Seeley (seeleylab.ucsf.edu/lab) Labs.
MS or PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or a related field. 3+ years of postdoc experience. Strong experience with pipeline development, bioinformatics tools, data management, and demonstrated competence in programming languages such as R or Python for bioinformatics analyses. Experience with cloud-based storage and service tools.
Applications will be reviewed on an ongoing basis until the position is filled. Please direct inquiries to Dr. Lea T. Grinberg AND Dr. Bill Seeley by sending a letter of interest, CV and at least three references to lea.grinberg@ucsf.edu AND bseeley@memory.ucsf.edu