Translational Bioinformatics & Genomics Scientist

C001 Medical University of South Carolina (MUSC - Univ)

Town of Charleston (NY)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Job summary

The Division of Biomedical Informatics and AI within MUSC invites applications for an Assistant Professor position in Translational Bioinformatics. We seek scientists using large-scale human genomic and health data to advance precision medicine and improve health.

Collaboration across MUSC and diverse data resources is encouraged. Responsibilities include developing an independent research program, leveraging EHR-linked biobanks and genomics datasets, and mentoring trainees in informatics, data

Qualifications

  • PhD, MD, MD/PhD, or equivalent degree in biomedical informatics, computational biology, genetics/genomics, biostatistics, computer science, genetic epidemiology, or a related field.
  • Demonstrated expertise in large-scale human genetic and genomic analyses, including GWAS, PheWAS, sequencing studies, and/or pharmacogenomics.

Responsibilities

  • Develop and maintain an independent, externally funded research program in translational bioinformatics, human genetics, genomics, precision medicine, and/or AI-enabled biomedical discovery.
  • Conduct innovative research leveraging EHR-linked biobanks and large-scale genomic and clinical datasets to investigate disease risk, therapeutic response, and health outcomes.
  • Develop and apply advanced statistical, computational, and AI/ML methods for genomic, sequencing, phenotypic, and health-related data.
  • Lead and collaborate on studies involving GWAS, PheWAS, fine-mapping, polygenic risk modeling, pharmacogenomics, genetic epidemiology, genomic medicine, and related areas.
  • Collaborate across MUSC with clinical, translational, biomedical, public health, and data science researchers to advance interdisciplinary initiatives.
  • Contribute to institutional efforts supporting precision medicine, biobank science, genomics, and AI-driven healthcare innovation.
  • Teach and mentor students, fellows, and trainees in biomedical informatics, data science, genetics, genomics, and related graduate education programs.
  • Participate in training and mentoring of the next generation of researchers through interdisciplinary research and workforce development initiatives.
  • Contribute to service activities within the Division, Department, College, University, and the broader scientific community.

Skills

Translational bioinformatics
Genomics
GWAS
PheWAS
AI/ML methods
EHR-linked biobanks
Biobank data

Education

Doctoral degree (PhD/MD/MD-PhD)

Job description

The Division of Biomedical Informatics and AI within MUSC invites applications for an Assistant Professor position in Translational Bioinformatics. We seek scientists using large-scale human genomic and health data to advance precision medicine and improve health.

Collaboration across MUSC and diverse data resources is encouraged. Responsibilities include developing an independent research program, leveraging EHR-linked biobanks and genomics datasets, and mentoring trainees in informatics, data

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