An Associate Research Scientist position in Computational Biology is available at the Center for Translational and Computational Neuroimmunology (CTCN) in the Department of Neurology at Columbia University Irving Medical Center in New York, NY.
We are looking for an enthusiastic and energetic individual to join our computational team. Our overarching research goal at the CTCN is to identify and model molecular mechanisms that drive neurodegeneration, focusing on Alzheimer's disease and related dementias (AD/ADRD). The computational team develops and applies systems biology approaches to genome-wide high-dimensional human data obtained from large, well-characterized cohorts. These data are often multimodal (genetic, epigenetic, transcriptomic, proteomic), include different brain regions or peripheral tissues, and were obtained at different resolutions (tissue-level data, single-cell/nucleus data, or spatial transcriptomics), requiring complex analyses. The successful candidate will be the leading bioinformatician for a study investigating molecular pathways underlying motor decline in an AD/ADRD cohort using large transcriptomic and proteomic datasets from key motor tissues (motor cortex, spinal cord, muscle). The candidate is also expected to contribute bioinformatics analyses to other projects, including the analyses of human brain single-nucleus multiome data and spatial transcriptomic data.
The successful candidate will be part of an integrated team of data scientists, cellular biologists, human immunologists, and clinician-scientists who come together to perform team-based projects. Therefore, a good balance between independence and a team spirit is essential. The position offers a stimulating and multidisciplinary environment with numerous opportunities to collaborate with researchers within and outside the CTCN, including established collaborations with the New York Genome Center and Rush University in Chicago. The candidate will be jointly mentored by Drs. Hans-Ulrich Klein and Philip De Jager.
The candidate should have a Ph.D. in a quantitative discipline (Bioinformatics, Computational Biology, Biostatistics, Statistics, Computer Science, or Applied Mathematics), be highly motivated to solve biological problems, and have experience analyzing large-scale genomic data. The candidate should have good knowledge of at least one programming language for implementing computational models and algorithms (e.g., R, Python, or Matlab). Experience with graph modeling, Bayesian statistics, or causal inference is a plus.
If interested, please submit your application or inquiries by email to Hans-Ulrich Klein at firstname.lastname@example.org. Please include a cover letter along with a CV that describes your previous research experience, research interests, and future goals.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
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