APPLICATION INSTRUCTIONS: + CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday (https://www.myworkday.com/psu/d/inst/13102!CK5mGhIKBggDEMenAhIICgYI1A0Q1QI~*qyZ5PNog5Ug~/cacheable-task/2998$46522.htmld#backheader=true) to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq\_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday. + CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday. + If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application\_Process\_for\_External\_Applications\_Non-Penn\_State\_Employees\_.pdf) . JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Veterinary and Biomedical Sciences in the College of Agricultural Sciences, the Department of Nutritional Sciences in the College of Health and Human Development, and the Huck Institutes of the Life Sciences of Pennsylvania State University seek enthusiastic, creative, and team-oriented applicants for an assistant/associate professor focused on computational metabolomics. Rapid technological advancements have led to an urgent need for development and implementation of rigorous computational approaches involving, but not limited to, data mining, pattern recognition, flux analysis, statistics, and machine learning, to analyze and interpret metabolomics data, to build and refine predictive models, and to integrate metabolomics data with data streams from other “omics” disciplines, such as genomics, transcriptomics, proteomics, and that from the microbiome. The successful applicant is expected to: develop a strong, independent program focused on computational metabolomics; undertake structural elucidations based on fragmentation patterns and develop new tools to refine and accelerate that activity; develop databases for metabolite identification and curation of metabolomics projects; develop algorithms for analysis and interpretation of metabolomics data; secure extramural support for an independent research program from the NIH, NSF, or private foundations. Individuals utilizing both computation and wet laboratory approaches are encouraged to apply. Applicants must have a Ph.D. in computer science, statistics, electrical engineering, chemical engineering, bioinformatics, nutrition, life sciences, or a related field, have demonstrable experience in either chemometrics or metabolomics, machine learning, data mining, pattern recognition, information fusion, and be well versed in analysis of high-throughput and high-dimensional data. Exceptionally creative and motivated individuals who are skilled in computational approaches for complex data but do not possess extensive biology, biochemistry, or metabolomics experience are also encouraged to apply. The position includes 75% research, and 25% teaching assignment. The successful applicant will train graduate students and post-doctoral fellows and will work in a cross-disciplinary team environment to provide novel discoveries relevant to current and future issues related to health and disease. This work may include studies of independent effects of, as well as interactions among, toxicants, pharmaceuticals, chemoprotective substances, macronutrients, and/or other compounds and elements in the diet, potentially in concert with the normal microbiota of body tissues as well as pathogens. As part of the leadership team of the Penn State Metabolomics Initiative, the successful applicant will perform independent research and also offer guidance and assistance for other investigators who are less familiar with metabolomics. The applicant will actively participate in development of a high-profile, interdisciplinary metabolomics research program, with emphasis on both computational bioinformatics and statistical analyses to help elevate and expand Penn State’s biomedical research programs. Teaching responsibilities will include development and/or instruction of an undergraduate course in metabolomics and at least one graduate level course in metabolomics and bioinformatics. The successful applicant will be expected to become an effective member of Penn State’s Center for Molecular Toxicology and Carcinogenesis (http://www.cmtc.psu.edu), the Huck Institutes of the Life Sciences (http://www.huck.psu.edu), and possibly the Pennsylvania Institute for Energy and the Environment (http://www.psiee.psu.edu). Additional involvement may include engagement in appropriate interdisciplinary research and mentoring activities within and outside the Department, potentially including faculty members and students of the Center for Molecular Immunology and Infectious Diseases (http://www.huck.psu.edu/people/specialties/an-institute-or-center/cmiid) and the Center for Infectious Disease Dynamics (http://www.cidd.psu.edu). This position features outstanding research space and a competitive start-up package. Penn State has an impressive record of grantsmanship, discoveries, publications, and mentored researchers. Penn State is a Land Grant University located within the beautiful Appalachian mountains of central Pennsylvania. State College and the surrounding communities are home to approximately 100,000 people, including over 45,000 students. The area is popular for its mountains, parks, streams, and superb sports and recreational opportunities. State College has an excellent school system and offers many cultural events. To apply, please visit https://app2.ohr.psu.edu/Jobs/External/EVMS2\_External/currentap1.cfm#55363 and submit a letter of application documenting qualifications for the position: a current curriculum vitae; and the contact information for at least three (3) professional references. Inquiries may be directed to Gary Perdew, PhD (ghp2@psu.edu), chairperson of the search committee. Reviews of applications will start in January 2025 and continue until the position has been filled. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here (https://police.psu.edu/annual-security-reports) . Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. 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