Research Assistant Professor in Molecular Modeling

University of North Carolina Chapel Hill Eshelman School of Pharmacy

Posting Information

Position Type Permanent Faculty

Working Title Research Assistant Professor - Dr. Tropsha's lab

Appointment Type Fixed Term Faculty

Salary Range Dependent on Experience and Qualifications.

Full-time/Part-time Full-Time Permanent

Vacancy ID FAC0003450

Posting Open Date 02/27/2021

Application Deadline 03/15/2021

Open Until Filled No

Proposed Start Date 05/01/2021

Position Summary

The laboratory for Molecular Modeling at the UNC Eshelman School of Pharmacy is recruiting a Research Assistant Professor in the areas of cheminformatics and computational toxicology to work on the projects that deal with assessing skin sensitization potential and other adverse local tissue reactions of small molecules and metal implants. This position entails the responsibility for data collection, curation, integration, and database development and maintenance. The Research Assistant Professor will also initiate the implementation of machine learning models, developed for the properties of interest. Basic programming skills and experience with Python/R/Java, as well as with workflow tools such as KNIME, are expected. The position requires strong collaboration between researchers at MML and external collaborators. The position will report to the head of the Laboratory for Molecular Modeling at the UNC Eshelman School of Pharmacy, UNC-Chapel Hill.

The successful candidate will (1) participate in the development and maintenance of a comprehensive database of skin sensitization potential, adverse local tissue reactions, and metal binding to specific human protein(s); (2) develop, interpret, and disseminate predictive machine learning models for toxicities/properties of interest; (3) extensively collaborate and communicate with both internal and external collaborators via phone calls and teleconferences; and (4) develop an extramurally funded research program in computational chemical toxicology.

70% – To assist in developing and maintaining a depository of metal binding to specific human protein(s), skin sensitization, and other adverse local tissue reactions. To accumulate, store, and disseminate data and significant research results generated within the MML. Develop, execute, and troubleshoot computational tools and methods for chemical and biological data mining. Independently interpret data and use results to drive additional experimental design.

10% – Assist the supervisor in establishing and executing research in chem- and pharmacoinformatics. Assist the supervisor in preparing research proposals and manuscripts.

10% – Envision and pursue an independent research agenda in computational toxicology/cheminformatics.

10% – Report data in team meetings and in meetings with collaborators (including those outsides of the University of North Carolina). – Independently, and in collaboration with colleagues, write scientific papers and assist in all aspects of the publication process. Report results in external, field-appropriate scientific meetings.

Educational Requirements

Ph.D. degree in Bioinformatics, Pharmaceutical Sciences, Cheminformatics, Computational Toxicology, or a closely related field of study with proven expertise in the development and application of computational tools and methods for chemical and biological data mining. The Research Assistant Professor position will be part of a multidisciplinary team that includes toxicologists, chemists, and data scientists.

Qualifications and Experience

Three (3) years of previous experience as a Postdoctoral Research Associate or Research Fellow in academia or with a federal research agency.
– Practical knowledge of machine learning methods and applications to chemical and biological databases at the scale required.
– Knowledge of scripting programming languages (Python/R/Java) is required.
– Strong written and verbal communication skills required.
– Ability to independently design and execute experiments.

Equal Opportunity Employer

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.

Quick Link

Department Contact Name and Title Alekya Battula, HR Consultant

Department Contact Telephone or Email

Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University’s Executive Vice Chancellor and Provost office at (919)-962-1091 or send an email to

Please note: The Executive Vice Chancellor & Provost office will not be able to provide specific updates regarding position or application status.

If you have any questions about the job requirements or the hiring department notify the Department Contact.

Applicant Documents

Required Documents
  1. Curriculum Vitae / Resume
  2. Cover Letter
  3. List of References
Optional Documents

Supplemental Questions

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