Post Doctoral Scholar - Biomedical Informatics

The-Ohio-State-University-Wexner-Medical-Center; Columbus (OH); On-site; USD 52,000 - 75,000; Full time

Job summary

The Ohio State University BMI lab seeks a highly motivated Postdoctoral Scholar to advance statistical and computational methods for designing and analyzing spatial multi-omics experiments. Work will focus on localizing senescent cells in aging/diseased lungs and improving spatial transcriptomics and spatial proteomics study design.

You will join a vibrant, interdisciplinary community collaborating with experts in biostatistics, bioinformatics, AI, genomics, and immunology at OSU BMI, PIIO, and

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.

Responsibilities

• Develop novel statistical and computational approaches for spatial multi-omics experiments.
• Lead analyses of single-cell and spatial transcriptomics in aging and diseased lungs.
• Collaborate with multidisciplinary teams in immunology, genomics, oncology, and AI/ML.
• Disseminate findings through high-impact publications and conferences.

Skills

Statistical analysis

Bioinformatics

Single-cell / spatial omics

AI/ML

Collaborative research

Education

PhD in Statistics or related field

Tools

R

Python

Spatial omics tools

Job description

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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.