Tenure Track Assistant Professor Position in Chemical Biology and Drug Discovery
- Employer
- Baylor College of Medicine
- Location
- Houston, Texas
- Salary
- Competitive Salary
- Closing date
- Sep 18, 2024
View more categoriesView less categories
- Discipline
- Life Sciences, Computational Biology, Pharmacology, Physical Sciences, Synthetic/Computational Chemistry, Health Sciences, Drug Discovery, Medicinal/Pharmaceutical Chemistry
- Position Type
- Full Time
- Job Type
- Faculty
- Organization Type
- Academia
A tenure track assistant professor position at Baylor College of Medicine is available to establish a research program in chemical biology or other areas broadly relevant to drug discovery.
Baylor College of Medicine (BCM) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the Texas Medical Center, the largest medical center in the world, BCM offers a highly interactive environment and a strong infrastructure for research. The Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology is focused on using small molecules and biologics to understand and modify disease-relevant cellular processes.
The Department invites applications from outstanding scientists for a tenure track position at the Assistant Professor rank in the field of chemical biology and drug discovery. Faculty in the department have diverse expertise, including drug discovery, enzymology, structural biology, biophysics, and biochemistry. Our drug discovery platforms include structure-guided drug design and fragment-based and DNA-encoded library-based drug discovery. The ideal candidate will provide complementary and synergistic expertise to our drug discovery efforts and develop an independent, funded research program in chemical biology. Our specific areas of interest for this position include protein/antibody design and engineering, functional genomics to understand pharmacology, structure-based drug design, proteomics and chemoproteomics, and application of machine learning and artificial intelligence (AI) to improve the target identification and drug discovery process. For candidates with computational expertise, preference will be given to candidates with an experimental component to validate computational results.
The candidate will supervise graduate students and postdoctoral fellows and contribute to the educational programs in the Department and College. Candidates should have a Ph.D. and/or M.D. degree and postdoctoral experience as well as a strong record of research accomplishments. Competitive compensation and a generous start up package will be provided. For consideration, applicants should fill in an application form and submit cover letter, curriculum vitae, summary of research accomplishments, statement of research interests, and the names of three references as a single PDF file (< 10 MB) via https://forms.gle/C24QiHJmBmpWZTLf9. A Google account is required to upload your application file. The single PDF file should be named as “LastName_FirstName.pdf”, such as “Smith_John.pdf”. Review of applications will begin September 15 and continue until the position is filled.
Get job alerts
Create a job alert and receive personalized job recommendations straight to your inbox.
Create alert