Post Doctoral Scholar - Biomedical Informatics

Post Doctoral Scholar
- Biomedical Informatics# Careers## Post Doctoral Scholar
- Biomedical Informatics Apply:
Columbus Campus:
Full time:
Posted Today:
R161411

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Job Title:

Post Doctoral Scholar
- Biomedical Informatics## Department:

Medicine | School Biomed Sci
- Biomedical Informatics 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.## Additional Information:##

Location:

Pelotonia Research Center (1040)## Position Type:

Term (Fixed Term)## Scheduled

Hours:

40##
** Shift:
** First Shift
*** Final candidates are subject to successful completion of a background check.  A drug screen or physical may be required during the post offer process.**
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