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How to Apply
Please send a CV and research summary to [email protected]
Job Summary
We are seeking a highly skilled computational expert to enhance our laboratory's capabilities in automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab.
What You'll Do
The candidate will join a multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods. We are a medicinal chemistry lab with expertise in catalysis, synthesis, protein-ligand interactions, drug discovery, protein folding, automated chemistry, virtual library generation and scoring, and software creation and deployment. Please review our software and research at www.cernaklab.com
Required Qualifications*
Candidate must have strong programming skills in Python, React, JavaScript and related languages. Expertise in one or more of the following skills is required: protein-ligand docking, DFT of organometallic complexes, machine learning or AI applied to chemistry or drug discovery, self-driving labs.
Desired Qualifications*
Experience in wet lab chemistry, biochemical, or genomics research is a plus.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.