Postdoc Research Associate - Endometrial Cancer Lab

PeopleAdmin, Inc.; Chapel Hill (NC); On-site; USD 52,000 - 65,000; Full time

Job summary

University of North Carolina at Chapel Hill in Chapel Hill is seeking a Post-Doc Research Associate to join the Yates Lab in the Department of Pathology and Laboratory Medicine. The role focuses on uterine cancer mechanisms using preclinical models and human tissues.

The successful candidate will study environmental factors affecting cancer development and outcomes, including obesity, hormones, and stress, with biomarker analyses to advance our understanding and prevention strategies.

Qualifications

• PhD in a biological science, or related field, degree.
• Candidate must have enthusiasm for research, interest in mentoring junior researchers, exceptional organization skills, and strong communication skills.
• Experience in cancer biology or hormone signaling/endocrinology is strongly preferred. Prior experience with both bioinformatics and tissue (or organoid) cultures is preferred.

Responsibilities

• Study contributions of environmental factors (e.g., obesity, hormones, stress) in endometrial cancer development and outcomes through human tissue and blood-based biomarker studies.
• Work in the Yates Lab to investigate mechanisms of uterine cancer development using preclinical models and human tissues.
• Collaborate with team members to advance research outputs and publications.

Skills

Enthusiasm for research

Mentoring junior researchers

Organizational skills

Communication skills

Literature reading

Education

PhD in biological sciences

Tools

Bioinformatics

Tissue culture (organoids)

Job description

University of North Carolina at Chapel Hill in Chapel Hill is seeking a Post-Doc Research Associate to join the Yates Lab in the Department of Pathology and Laboratory Medicine. The role focuses on uterine cancer mechanisms using preclinical models and human tissues.

The successful candidate will study environmental factors affecting cancer development and outcomes, including obesity, hormones, and stress, with biomarker analyses to advance our understanding and prevention strategies.