Job No. 154936
- Job Title:
- Computational Chemist Lead
- Employer:
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University of Michigan-Ann Arbor
- Location:
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Ann Arbor , MI
- Posting Date:
- 17-Feb-2025
- Description:
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Job Summary
The Life Sciences Institute is looking for a drug discovery scientist with expertise in computational methods to partner with the Director of Michigan Drug Discovery in advancing drug discovery research at the University of Michigan (U-M).
With its administrative home in the Life Sciences Institute, Michigan Drug Discovery (MDD) is a campus-wide program created to support and fund drug discovery research at the University of Michigan. MDD provides ongoing funding for drug discovery projects and provides advice to investigators engaged in drug discovery research broadly defined. MDD staff participate in development discussions and help identify opportunities for U-M investigators to work with external partners.
You will report to the Director of Michigan Drug Discovery and be a resource for U-M investigators. In your role, you will support a broad range of scientists and projects. Flexibility, communication, and the ability to prioritize work will be important.
Mission Statement
The Life Sciences Institute explores biological processes, structures and functions at the finest scale to create impact on a global scale. With a diverse community of inquisitive minds and exceptional tools, we are a catalyst for breakthrough discoveries.
For more information on Michigan Drug Discovery: https://drugdiscovery.umich.edu/
Responsibilities*
We are looking for driven and collaborative individuals that can fulfill the following tasks:
Provide computational chemistry support for drug discovery projects such as molecular modeling, structure-based design, and dataset analysis.
Conduct virtual library development, virtual screening, docking and molecular dynamics for small molecules and their macromolecular targets.
Be an expert user of molecular modeling tools and a resource for other users on campus.
Support screening campaigns with DNA-encoded libraries through triage and development of machine learning (ML) models.
Maintain current awareness of and facility with using machine learning methods in computational drug discovery, especially those that are available through opensource platforms.
Evaluate project feasibility, estimate project timelines, and independently prioritize tasks.
Track time spent on individual projects to provide appropriate recharge data to the financial team.
Collaborate in the preparation of reports, presentations, and publications.
Required Qualifications*
A Bachelor's degree in computational chemistry, medicinal chemistry, biophysics, data science or a related field
Minimum of 5 years of experience in molecular modeling and virtual screening or in the statistical/computational techniques and analysis of large and/or complex datasets
Project management skills to prioritize and organize work across multiple projects in parallel
Ability to communicate verbally and in writing with a broad range of scientists across multiple disciplines
Desired Qualifications*
Master's or PhD in computational chemistry, medicinal chemistry, biophysics, data science or a related field
Experience providing computational chemistry support to drug discovery teams
Collaborative mindset with experience working in multidisciplinary research environments
Ability to use Python, R or other scripting language for data analysis and workflow automation
Ability to reduce open-ended discovery questions into meaningful experiments
Experience applying machine learning methods in drug discovery
- Contact information:
- University of Michigan-Ann Arbor
- Ann Arbor, MI 48109
- United States
- Employer's Website:
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