CCHS - Assistant Professor/Associate Professor in AI-Driven Drug Discovery Development - Tenure/Tenure Track - 530927

The University of Alabama • Alabama, AL

21d

About The Position

The University of Alabama’s newly established Department of Translational Science and Medicine seeks an innovative faculty member to build a research program at the intersection of artificial intelligence, machine learning, and quantum computing, with a focus on drug discovery and development. The successful candidate will apply computational methods to challenges in pharmacology, biomaterials, immuno-inflammatory diseases, and neuroscience. The faculty member will have access to the University’s High-Performance Computing (HPC) cluster for large-scale data analysis, complex simulations, and development of AI and machine-learning models.

The role includes teaching and developing undergraduate and graduate courses, mentoring students and junior researchers, securing extramural research funding, publishing high-impact research, and collaborating with interdisciplinary teams across the University and with external partners. The candidate should have a background in fundamental and applied research and expertise in one or more of the following: AI/ML for drug discovery, quantum computing in pharmacology, computational pharmacology including ADME-Tox and PBPK modeling, or translational science connecting computational predictions with preclinical or clinical data.

Appointments to the University faculty are based on academic program personnel requirements and the goal of excellence in teaching, research, and service/academic citizenship.

Requirements

• Doctoral degree (Ph.D., M.D., or M.D./Ph.D.) in a relevant field, such as computer science, computational chemistry, pharmaceutical sciences, biomedical engineering, or a related discipline.
• Strong background in fundamental and applied research, with expertise in one or more of the following: AI/ML for drug discovery; quantum computing in pharmacology; computational pharmacology, including ADME-Tox or PBPK modeling enhanced by AI/ML; or translational science linking computational predictions with preclinical or clinical data.
• Applicants must submit a detailed letter of interest and fit, a comprehensive CV, a research summary of no more than three pages, a teaching statement of no more than one page, and contact information for five professional references.

Nice To Haves

• Strong record of research achievements, including significant intellectual contributions.
• History of securing extramural funding, or clear potential for success for Assistant Professor candidates.
• Commitment to teaching excellence and student mentorship.
• Experience in curriculum development for courses related to the candidate’s expertise.

Responsibilities

• Develop and teach courses at undergraduate and graduate levels.
• Mentor students and junior researchers.
• Secure extramural funding to support research.
• Publish high-impact research.
• Collaborate with interdisciplinary teams across the University and with external partners.
• Establish a research program applying AI, machine learning, and quantum computing to challenges in pharmacology, biomaterials, immuno-inflammatory diseases, and neurosciences.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree