American Society for Biochemistry and Molecular Biology (ASBMB)
Assistant/Associate Professor - AI-Driven Biomolecular Design, Biotechnology, an
American Society for Biochemistry and Molecular Biology (ASBMB), West Lafayette, Indiana, United States, 47907
Assistant/Associate Professor - AI-Driven Biomolecular Design, Biotechnology, and Computational Biology
Purdue University invites applications for multiple tenured or tenure‑track faculty positions as part of its strategic faculty recruitment initiative in AI-Driven Biomolecular Design, Biotechnology, and Computational Biology. This initiative will help advance Purdue's One Health initiative which seeks to tackle complex challenges with real-world impact at the intersection of human, animal, plant, and environmental health. Through academic programs, research, facility infrastructure and industry partnerships, Purdue is making giant leaps in improving health outcomes for all living things and driving economic growth regionally and globally.
Participating Colleges and Departments
College of Agriculture – Agricultural and Biological Engineering
College of Science – Biological Sciences; Chemistry; Computer Science; Statistics
College of Engineering – Biomedical Engineering; Chemical Engineering; Materials Engineering; Mechanical Engineering
College of Pharmacy – Medicinal Chemistry and Molecular Pharmacology
College of Veterinary Medicine – Comparative Pathobiology
College of Health and Human Sciences – Health Sciences; Public Health; Nutrition Science
Areas of Research Focus Successful candidates will blend advanced AI/ML computational approaches with innovative experimental methods to develop cutting‑edge solutions in drug discovery, synthetic biology, cell engineering, drug or biomaterial design, diagnostics, drug safety, precision health, infectious disease control, cell and gene therapy, and sustainable biomanufacturing. We invite scholars working in the following areas, as well as related or emerging fields that complement the cluster's interdisciplinary goals:
Structural biology and computational biomolecular modeling.
AI‑driven drug discovery, drug delivery (e.g., blood–brain barrier), drug safety, and biomolecular engineering.
Computational biophysics and multi‑omics for discovery and health‑related innovations.
Synthetic biology and biomolecular and biosystem design for biomanufacturing.
Novel computational and experimental approaches to biosurveillance, epidemiology, diagnostics, imaging, and risk assessment for One Health applications.
Faculty Responsibilities
Establish a vigorous, externally funded research program.
Contribute to the education and mentoring of graduate and undergraduate students.
Collaborate across disciplines to solve complex global health challenges.
Commit to continuous improvement and teaching.
Strategic Advantages at Purdue
Purdue Institute for Drug Discovery
William D. and Sherry L. Young Institute for the Advanced Manufacturing of Pharmaceuticals
Dane O. Kildsig Center for Pharmaceutical Processing Research (KCPPR)
Dauch Center for the Management of Manufacturing Enterprises (DCMME)
Purdue Institute for Plant Sciences
Purdue MRI Facility
Laboratory of Renewable Resources Engineering
Rosen Center for Advanced Computing
Purdue Institute for Cancer Research
Bindley Bioscience Center
Key Strengths
Structural Biology
– cryo‑electron microscopy, X‑ray crystallography, and NMR spectroscopy for characterizing purified biomolecules and in situ structural biology; expertise in viruses and infectious disease.
Computational Biophysics and AI‑Driven Drug Discovery
– molecular dynamics simulations, quantum chemistry, and machine learning for drug‑target optimization.
Advanced Manufacturing of Pharmaceuticals and Biomanufacturing
– engineering bioactive compounds, vaccine platforms, and biomaterials for infectious diseases and environmental health.
Computational Biology
– multi‑omics integration, AI‑driven biosurveillance, and predictive modeling for One Health solutions.
Biomedical Engineering, Imaging, and Pharmacy
– AI‑powered drug delivery platforms, biosensors, molecular and functional imaging, and pharmacology solutions.
Computational Epidemiology, Toxicology, and Public Health
– AI‑driven models for disease prediction, risk assessment, and public health intervention.
Microbiome Sciences in One Health
– predicting and controlling microbiomes to improve plant, animal, human, and environmental health.
Qualifications
Ph.D. in chemistry, biology, biochemistry, toxicology, computer science, engineering, biomedical science, or a related discipline by the start of the appointment.
A record of research excellence and productivity commensurate with rank.
Demonstrated potential or record of interdisciplinary collaboration and impactful scholarship.
Commitment to teaching and student mentorship.
Application Process To apply, please submit a cover letter, curriculum vitae, research statement, teaching statement, and contact information for at least three references. During the application process, candidates will identify which academic department(s) align with their scholarly interests. Review of applications will begin on November 14, 2025, and continue until positions are filled.
A background check is required for employment in this position.
Purdue University is an equal opportunity, equal access university.
To apply, please visit: https://careers.purdue.edu/job/AssistantAssociate-Professor-AI-Driven-Biomolecular-Design,Biotechnology,and-Computational-Biol/39197-en_US/
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Participating Colleges and Departments
College of Agriculture – Agricultural and Biological Engineering
College of Science – Biological Sciences; Chemistry; Computer Science; Statistics
College of Engineering – Biomedical Engineering; Chemical Engineering; Materials Engineering; Mechanical Engineering
College of Pharmacy – Medicinal Chemistry and Molecular Pharmacology
College of Veterinary Medicine – Comparative Pathobiology
College of Health and Human Sciences – Health Sciences; Public Health; Nutrition Science
Areas of Research Focus Successful candidates will blend advanced AI/ML computational approaches with innovative experimental methods to develop cutting‑edge solutions in drug discovery, synthetic biology, cell engineering, drug or biomaterial design, diagnostics, drug safety, precision health, infectious disease control, cell and gene therapy, and sustainable biomanufacturing. We invite scholars working in the following areas, as well as related or emerging fields that complement the cluster's interdisciplinary goals:
Structural biology and computational biomolecular modeling.
AI‑driven drug discovery, drug delivery (e.g., blood–brain barrier), drug safety, and biomolecular engineering.
Computational biophysics and multi‑omics for discovery and health‑related innovations.
Synthetic biology and biomolecular and biosystem design for biomanufacturing.
Novel computational and experimental approaches to biosurveillance, epidemiology, diagnostics, imaging, and risk assessment for One Health applications.
Faculty Responsibilities
Establish a vigorous, externally funded research program.
Contribute to the education and mentoring of graduate and undergraduate students.
Collaborate across disciplines to solve complex global health challenges.
Commit to continuous improvement and teaching.
Strategic Advantages at Purdue
Purdue Institute for Drug Discovery
William D. and Sherry L. Young Institute for the Advanced Manufacturing of Pharmaceuticals
Dane O. Kildsig Center for Pharmaceutical Processing Research (KCPPR)
Dauch Center for the Management of Manufacturing Enterprises (DCMME)
Purdue Institute for Plant Sciences
Purdue MRI Facility
Laboratory of Renewable Resources Engineering
Rosen Center for Advanced Computing
Purdue Institute for Cancer Research
Bindley Bioscience Center
Key Strengths
Structural Biology
– cryo‑electron microscopy, X‑ray crystallography, and NMR spectroscopy for characterizing purified biomolecules and in situ structural biology; expertise in viruses and infectious disease.
Computational Biophysics and AI‑Driven Drug Discovery
– molecular dynamics simulations, quantum chemistry, and machine learning for drug‑target optimization.
Advanced Manufacturing of Pharmaceuticals and Biomanufacturing
– engineering bioactive compounds, vaccine platforms, and biomaterials for infectious diseases and environmental health.
Computational Biology
– multi‑omics integration, AI‑driven biosurveillance, and predictive modeling for One Health solutions.
Biomedical Engineering, Imaging, and Pharmacy
– AI‑powered drug delivery platforms, biosensors, molecular and functional imaging, and pharmacology solutions.
Computational Epidemiology, Toxicology, and Public Health
– AI‑driven models for disease prediction, risk assessment, and public health intervention.
Microbiome Sciences in One Health
– predicting and controlling microbiomes to improve plant, animal, human, and environmental health.
Qualifications
Ph.D. in chemistry, biology, biochemistry, toxicology, computer science, engineering, biomedical science, or a related discipline by the start of the appointment.
A record of research excellence and productivity commensurate with rank.
Demonstrated potential or record of interdisciplinary collaboration and impactful scholarship.
Commitment to teaching and student mentorship.
Application Process To apply, please submit a cover letter, curriculum vitae, research statement, teaching statement, and contact information for at least three references. During the application process, candidates will identify which academic department(s) align with their scholarly interests. Review of applications will begin on November 14, 2025, and continue until positions are filled.
A background check is required for employment in this position.
Purdue University is an equal opportunity, equal access university.
To apply, please visit: https://careers.purdue.edu/job/AssistantAssociate-Professor-AI-Driven-Biomolecular-Design,Biotechnology,and-Computational-Biol/39197-en_US/
#J-18808-Ljbffr