This position is located in Kannapolis, NC, approximately 2 hours from UNC’s main campus.
Position Summary
We are seeking a motivated and talented Postdoctoral Scholar with expertise in data analysis, computational modeling, and coding to join our team. The Postdoctoral Scholar will work as an integral member of the Rushing Lab at the University of North Carolina at Chapel Hill’s Nutrition Research Institute to conduct multi-omics analyses to investigate cancer metabolism to advance precision oncology. The postdoctoral scholar will lead and collaborate on projects that leverage cutting-edge computational techniques to analyze complex datasets and develop models that advance our understanding of cancer metabolic pathways, disease progression, and treatment response.
The successful candidate will have opportunities to publish high-impact research, mentor students, and contribute to grant proposals. This position offers an exciting chance to work at the intersection of biology and data science in a collaborative, innovative environment.
Minimum Education and Experience Requirements
Ph.D. (or an equivalent doctorate or terminal degree, such as a M.F.A., Sc.D., J.D. or M.D.) in an appropriate field of study.
Required Qualifications, Competencies, and Experience
- Ph.D. in Computational Biology, Data Science, Bioinformatics, Biostatistics, or a related discipline.
- Strong programming skills in Python, R, or similar languages.
- Experience with data analysis, modeling, and visualization tools.
- Demonstrated proficiency in working with high-dimensional biological data (e.g., omics datasets).
- Strong critical thinking and problem-solving skills.
- Excellent written and verbal communication abilities.
- Ability to work independently and collaboratively in a multidisciplinary team.
Preferred Qualifications, Competencies, and Experience
- Experience in machine learning, network analysis, or statistical modeling.
- Familiarity with metabolomics or systems biology.
- Experience with cloud computing platforms and/or high-performance computing environments.
- A track record of peer-reviewed publications in computational biology or related fields.
To learn more and apply, visit: https://unc.peopleadmin.com/postings/296701
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, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.