Postdoctoral Research Opportunity
A postdoctoral fellow position is available for an outstanding candidate interested in developing and applying state-of-the-art machine learning methods to multi-omics data to identify biomarkers for post-traumatic stress disorder (PTSD). The successful applicant will join the Systems Biology of PTSD Biomarkers Consortium (SBPBC), a long-standing collaboration between the UofM, New York University (NYU), Harvard University, Brown University, the University of California San Francisco (UCSF), the Institute for Systems Biology (ISB), and Walter Reed Army Institute of Research (WRAIR). Over the last 15 years, the SBPBC has measured >1 million blood-based molecular markers in >13,000 military service members and civilians with and without PTSD. Members of the Daigle Lab have successfully applied machine learning methods to these markers to enable accurate PTSD diagnosis, prognosis, and clinical subtyping. The postdoctoral fellow will lead efforts to develop novel machine learning models for integrating omics datasets (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomic) with relevant molecular pathways to further improve these capabilities. The position offers outstanding opportunities for collaboration with members of the SBPBC and access to comprehensive high-dimensional molecular datasets for the development and application of cutting-edge machine learning methods.
We seek highly motivated candidates with the ability to work both independently and in a collaborative environment. The position offers a competitive salary plus benefits for an initial appointment of 12 months, with the potential for extension contingent upon continued funding and satisfactory performance. Screening of applicants will begin June 5, 2025, but the position is open until filled. If interested, please click here for more information and to apply.
Graduate Research Opportunities
Assistantships are available for students interested in pursuing Ph.D. research in bioinformatics and/or computational systems biology. Active research areas in the lab include computational identification of disease biomarkers from high-throughput omics data and machine learning-based inference of gene regulatory networks (GRNs) from single-cell data. We currently have openings in two projects from these areas: (1) biomarker discovery for post-traumatic stress disorder (PTSD) from clinical and molecular data collected from military populations, and (2) application of deep learning techniques to rapidly and accurately infer GRNs from single-cell RNA-sequencing data.
The successful candidate should be highly motivated and have some R and/or Python programming experience. Prior research experience in bioinformatics and/or computational biology is desirable. Details about admission and degree requirements can be found here (Ph.D., Biological Sciences). To ensure full consideration, applications should be completed by February 1. Accepted students will be supported through a graduate assistantship.
If interested, please first email Dr. Daigle your CV and a concise statement describing your interest in the position, previous research experience, and relevant coursework.