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Post Doctoral Fellow

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MUSC Health

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Location:
United States , Charleston

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Category:
Research and Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The laboratory of Dr. Sahin in the Department of Biochemistry and Molecular Biology at MUSC is recruiting a post-doctoral fellow in bioinformatics with cancer biology. The lab focuses on elucidating molecular mechanisms of cancer therapeutics, drug resistance, and metastasis, and developing novel anti-cancer therapeutics. The role involves analyzing high-dimensional molecular data from cancer patients to guide personalized therapy and support clinical trial inclusion.

Job Responsibility:

  • Analyze and interpret complex molecular datasets to identify clinically actionable changes
  • Advance the integration of multi-omics and clinical datasets to uncover mechanisms of tumor evolution, therapeutic resistance, and potential biomarkers
  • Assess molecular biomarkers for inclusion in controlled clinical trials
  • Collaborate with leading scientists to develop innovative workflows and pipelines for high-dimensional data analysis
  • Work with the PI to develop a career development plan and participate in various career advancement opportunities
  • Interact and coordinate efforts with undergraduate/graduate students and postdoctoral fellows in the same research group
  • Stay updated on the latest advancements in bioinformatics and genomics research and present findings to internal teams and external stakeholders, while also publishing research outcomes and presenting at conferences

Requirements:

  • Doctoral degree (Ph.D. or equivalent) awarded within the last 3 years in bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines
  • Experience in data science in cancer biology and/or immunotherapy development
  • Excellent organizational, written, and oral communication skills

Nice to have:

  • Experience with deep learning modelling
  • Experience with bioinformatics projects
  • Relevant publications in peer-reviewed journals
  • A strong background in programming (e.g. Python or R)
  • Demonstrated experience with machine learning modelling
  • Interest in learning biological/genetic concepts
  • Experience in advanced molecular and cell biology techniques and animal handling/breeding

Additional Information:

Job Posted:
January 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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