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Post Doctoral Scholar - Biomedical Informatics

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: The-Ohio-State-University-Wexner-Medical-Center
Full Time position
Listed on 2026-11-01
Job specializations:
  • Research/Development
    Data Scientist, Postdoctoral Research Fellow, Research Scientist, Genetics / Genomics
Salary/Wage Range or Industry Benchmark: 52000 - 75000 USD Yearly USD 52000.00 75000.00 YEAR
Job Description & How to Apply Below

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The lab of Dr. Dongjun Chung in the Department of Biomedical Informatics (BMI) at The Ohio State University (OSU) is seeking a highly motivated and talented Postdoctoral Scholar. In this role, you will develop statistical and computational approaches to improve the design and analysis of spatial multi-omics experiments. Current projects include (i) the development of novel statistical and computational approaches to determine and localize senescent cells (SnCs) in aging and diseased lungs, using single-cell and spatial omics data;

and (ii) the development of novel statistical and computational approaches to improve the design of sequencing- and imaging-based spatial transcriptomics and spatial proteomics experiments. You will be part of a vibrant, interdisciplinary ecosystem, collaborating with experts in biostatistics, bioinformatics, computational biology, AI, genomics, and immunology, at OSU BMI, PIIO, and OSUCCC-James. You’ll have access to exceptional computational infrastructure, rich multi-omics datasets, and translational collaborations that bridge discovery to clinical impact.

Key Responsibilities
  • Develop novel statistical and computational approaches to improve the design and analysis of spatial multi-omics experiments.
  • Lead analyses of single-cell and spatial transcriptomics, especially those generated from aging and diseased lungs.
  • Collaborate with multidisciplinary teams in immunology, genomics, oncology, and AI/ML.
  • Disseminate findings through high-impact publications and presentations at national/international conferences.
Qualifications
  • PhD in Statistics, Biostatistics, Computer Science, Data Science, Bioinformatics, or related field.
  • Strong interest or background in bioinformatics, cancer genomics, or statistical genetics.
  • Experience with AI/ML, high-dimensional data analysis, or multi-omics integration is highly valued.
  • Commitment to collaborative, rigorous, and innovative research.

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

The university is an equal opportunity employer, including veterans and disability.

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