Postdoctoral Fellow in Machine Learning and Computational Biology

Company: University Of Memphis East
Location: Memphis
Posted on: May 8, 2025

Job Description:

University of Memphis Career OpportunitiesPostdoctoral Fellow in Machine Learning and Computational BiologyAdvertised Title Postdoctoral Fellow in Machine Learning and Computational BiologyCampus LocationCampus Location Main Campus (Memphis, TN)Position NumberPosition Number 023825CategoryCategory Full-Time FacultyDepartmentDepartment BiologyPosition SummaryThe Daigle Lab of Bioinformatics and Systems Biology at the University of Memphis (UofM) is recruiting a postdoctoral fellow to develop and apply 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. They will participate in the publication and presentation of project findings as well as assisting with funding proposals. They will also contribute to the training and mentoring of undergraduate and graduate trainees. 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.

Applications must be submitted online at https://workforum.memphis.edu/ and include a cover letter, CV, unofficial transcripts, two representative publications showcasing your writing and analytical skills, and contact information (not letters) for at least three professional references. Applicants can learn more about the Departments of Biological Sciences, Computer Science (both affiliated with the Daigle Lab), and Dr. Daigle at the following links: https://www.memphis.edu/biology/ , https://www.memphis.edu/cs/ , and https://daiglelab.org . Informal inquiries can be sent to bjdaigle[at]memphis.edu.Hiring range: Commensurate with experienceMinimum Position Qualifications - Ph.D. in bioinformatics/computational biology, genetics/genomics, computer science, data science, or similar - Strong publication record in peer-reviewed conferences and/or journals - Experience applying machine learning methods (especially deep neural network approaches) to genome-scale datasets - Extensive programming experience in R and/or Python (ideally both) - Strong writing, communication, and interpersonal skills, including a proven ability to work both independently and as part of a teamSpecial ConditionsThis position is available for sponsorship consideration.Posting DatePosting Date 05/05/2025Closing DateOpen Until Screening Begins YesHiring RangeHiring Range Commensurate with experienceFull-Time/Part-TimeSpecial Instructions to ApplicantsInstructions to Applicant regarding referencesContact information (not letters) for at least three professional referencesIs this posting for UofM employees only?Is this posting for UofM employees only? NoBenefits of Employment (Applies to full-time, non-police employees only)Supplemental QuestionsRequired fields are indicated with an asterisk (*).
#J-18808-Ljbffr

Keywords: University Of Memphis East, Bartlett , Postdoctoral Fellow in Machine Learning and Computational Biology, Other , Memphis, Tennessee