Company Description:

The Center for Drug Design (CDD) at the University of Minnesota is a center of excellence in drug design and research within the College of Pharmacy. Founded in 2002 by renowned medicinal chemist Robert Vince, PhD, the CDD builds on a legacy that includes patents in anti-cancer, anti-viral, and anti-microbial therapeutics, notably the development of carbovir, marketed as Ziagen® for HIV/AIDS treatment. The Center’s mission is to unite rigorous academic research with the design and development of highly effective drugs. As part of a leading public research university, CDD offers an environment that blends academic tradition with innovation, independence, and collaboration. Team members are encouraged to pursue impactful research that advances therapeutic discovery and benefits the broader scientific and healthcare communities.

Summary of Position: 

This Staff Scientist will be under the direct supervision of the co-Director of the Center for Drug Design (CDD), with the overall goal of advancing key CDD projects in drug discovery, by providing center-wide computational chemistry / biology support. The main duties will be to conduct molecular docking to aid in structure-based drug design, carry out virtual screenings using structure- or ligand-based approaches, free energy calculations, and predict protein structures as well as drug ADME and toxicity properties. The success of this position will require expertise in quantum chemistry, molecular mechanics methods, and molecular dynamic simulation, skills in molecular modeling and protein structure prediction, the ability to work in a highly collaborative team environment, and working knowledge in AI / ML in drug discovery. The successful candidate is expected to work largely independently with minimal supervision. 

Principal Duties and Responsibilities:

Cheminformatics and molecular modeling (85%)

• Conduct molecular docking to aid in structure-based drug design.
• Carry out virtual screenings using structure- or ligand-based approaches.
• Perform free energy calculations.
• Predict protein structures.
• Curate and maintain a searchable in-house compound database.
• Create compound structure data files suitable for high throughput docking.
• Predict drug ADME and toxicity properties in silico using computational and AI models.

Other duties (15%)

• Equipment management
• Molecular docking user training

Required Qualifications:

• Ph.D. in computational chemistry, Cheminformatics, Bioinformatics, Biophysics or a related field.
• Strong foundation in theoretical physical chemistry and organic chemistry.
• Demonstrated expertise in quantum chemistry, molecular mechanics methods, and molecular dynamic simulation.
• Demonstrated knowledge on protein-ligand molecular interactions.
• Proven record in productive scientific research.
• Ability to work effectively both independently and collaboratively.
• Strong interpersonal and communication skills.

Preferred Qualifications:

• Demonstrated experience in computer-aided drug design, including molecular docking, AlphaFold structural prediction, structure- or ligand-based virtual screening, free energy calculations.
• Demonstrated user experience with one or more of the standard modeling program suites (Schrödinger, MOE, etc).
• Proven ability to write project reports and manuscripts.
• Ability to work independently, design and execute research projects, and communicate scientific findings, with minimal supervision.

Pay and Benefits:

• Full time - 100% Appointment
• Pay range: $70,000 - $80,000 depending on education, qualifications and experience
• The position is 100% on site.
• Please visit the Office of Human Resources website for more information regarding benefit eligibility.

How to Apply:

Submit the following to co-Director, Zhengqiang (ZQ) Wang at [email protected]:

• CV
• Cover letter
• Name and contact information for three professional references familiar with your scientific experience (e.g., PhD advisor, postdoctoral advisor, mentors, or research supervisors).