Daniel Reker

Duke University is hiring a Postdoctoral Associate in AI-guided antibiotic prodrug design within the Reker Lab at the Duke University Pratt School of Engineering. This opportunity is ideal for researchers with interests in computational chemistry , cheminformatics , molecular machine learning , predictive modeling , and generative modeling for small molecules . The project focuses on generative design of small-molecule prodrugs and infection-responsive linker chemistries, prediction of bioactivity, prodrug activation, ADMET, and molecular properties, plus multi-objective optimization and prospective molecular design. The postdoc will work in a highly collaborative, interdisciplinary environment with medicinal chemists and microbiologists, contributing to iterative design–synthesize–test–learn workflows and downstream preclinical evaluation with international collaborators. The position is especially suited to a result-oriented scientist who wants computational predictions translated quickly into experimental outcomes. Eligibility: Applicants should have completed a PhD by the appointment start date in computational chemistry, cheminformatics, chemistry, chemical engineering, biomedical engineering, computer science, pharmaceutical sciences, or a related field. Funding: The role is supported by a newly funded Wellcome Leap Focused Antibiotics project. Salary/stipend details are not listed in the post. Start date: Preferred immediately, with flexibility. How to apply: Submit an application through the linked AcademicJobsOnline posting. Review the posting carefully and prepare the required materials before applying.