Postdoctoral Fellow/Research Scientist | Epigenetic & Transcriptional Regulation in Breast Cancer
Listed on 2025-12-02
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Research/Development
Research Scientist, Clinical Research, Medical Science, Data Scientist -
Healthcare
Clinical Research, Medical Science, Data Scientist
🧬 Postdoctoral Fellow / Research Scientist | Epigenetic & Transcriptional Regulation in Breast Cancer
📍 University of Cincinnati College of Medicine, Department of Cancer Biology – Cincinnati, OH
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Final date to receive applications :
Open Until Filled đź”— Zhang Lab Website
The Zhang Lab , supported by multiple NCI R01 grants , is recruiting Postdoctoral Fellows and Research Scientists to join groundbreaking research on transcriptional and epigenetic gene regulation in breast cancer metastasis and therapeutic resistance .
This is a unique opportunity to work in a dynamic, well-funded lab with a focus on gene-specific transcriptional cofactors ,
small RNAs , and liquid-liquid phase separation (LLPS) —all with real translational impact.
- Transcriptional cofactors and chromatin modifiers
- Epigenetic mechanisms of endocrine resistance in breast cancer
- RNA-based therapeutics and targeted delivery systems
- Small RNAs, LLPS, and tumor microenvironment
- Preclinical modeling with CRISPR/Cas ,
knock-in/knockout mouse models , and nanotherapeutic delivery
Recent publications include:
- Dev Cell (2021) 56(3):341
- Cell Reports (2021) 34(10):108822
- Cancers (2024) 16(23):3992
- State-of-the‑art research in cancer genomics, small RNA biology , and LLPS
- Direct connection to RNA‑based therapeutics startup :
- Competitive salary with full family health coverage ,
retirement benefits , and career development opportunities - Collaborative, innovation‑driven culture within a top‑tier public research university
- Live and work in Cincinnati —a vibrant, affordable, and highly livable U.S. city
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Qualifications
- PhD and/or MD in Molecular Biology ,
Biochemistry ,
Genetics ,
Cell Biology , or a related field - Strong background in molecular or cellular biology techniques
- Preferred experience with genomics ,
small RNAs ,
LLPS , or in vivo models - Proven track record of completing complex research projects
- Strong communication and collaborative skills
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