Postdoc Research Associate – Tropsha Lab Position Available In Orange, North Carolina

Tallo's Job Summary: The Postdoc Research Associate position at Tropsha Lab in Chapel Hill, NC offers a full-time, temporary role with 40 hours per week. The salary is dependent on experience and qualifications, with an estimated duration of 12 months. The role involves developing innovative approaches for enhancing machine learning models in cheminformatics applications, requiring a PhD in Chemistry or a related field, along with a strong background in organic chemistry and machine learning.

Company:
University of North Carolina at Chapel Hill
Salary:
JobFull-timeOnsite

Job Description

Postdoc Research Associate – Tropsha Lab 4.0 4.0 out of 5 stars Chapel Hill, NC 27599 Posting Details Department

SOP-CBMC – 452100

Posting Open Date 05/12/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Postdoc Research Associate – Tropsha Lab Vacancy

ID PDS004526

Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent on experience and qualifications. Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The UNC Eshelman School of Pharmacy (www.pharmacy.unc.edu) is one of six health science schools (Pharmacy, Nursing, Dentistry, Social Work, Public Health, Medicine) at the University of North Carolina at Chapel Hill and is one of the oldest health science academic programs at Chapel Hill. The School teaches approximately 600 PharmD students and 145 graduate students. The School has built a reputation for its continued pursuit of excellence, rigorous education and training programs, cutting-edge multidisciplinary research, progressive pharmacy practices, efficient business operations, and its outstanding faculty, staff, and students. The School was named the number one School of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators to solve the world’s most pressing health care challenges. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research, and public service. Position Summary Develop novel approaches and tools for increasing the accuracy of machine learning models used in cheminformatics applications based on the concept of ‘out-of-domain’ prediction. Employ these approaches for modeling ultra-large data generated in screening DNA-encoded libraries (DEL) Minimum Education and Experience Requirements PhD in Chemistry, or a related field Required Qualifications, Competencies, and Experience Advanced knowledge of organic chemistry and machine learning. Preferred Qualifications, Competencies, and Experience NA Special Physical/Mental Requirements

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