Postdoctoral Fellow in Computational Biology
The University of Texas MD Anderson Cancer Center · Bethlehem, PA
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FULL-TIME
Posted Jun 25, 2026
Job Description
Job Title: Postdoctoral Fellow in Computational Biology
Job Number: 128837
Location: Philadelphia, US
Job Description
Wenbao Yu’s lab at Temple University’s Lewis Katz School of Medicine and Fox Chase Cancer Center is seeking highly motivated postdoctoral Fellows to join us in July 2026. The Yu lab’s work sits at the intersection of genomics, data science, and cancer biology, uncovering how cancer cells adapt, resist therapy, and metastasize.
What you’ll work on
• Computational methodology development
• Single-cell and spatial omics data analysis and interpretation
• Cancer cell plasticity, cell–cell communication, transcriptional and epigenetic regulation
What you’ll bring
• A PhD in computational biology, bioinformatics, genomics, statistics, or related field
• Experience with bulk and single-cell genomic/epigenomic data analysis
• Proficiency in R or Python and HPC experience
• A solid publication record and collaborative mindset
• Prior experience in spatial omics or cancer biology is a plus
Why join?
We offer a supportive, interdisciplinary environment with a strong focus on mentorship, discovery, and career growth. Compensation follows NIH guidelines commensurate with experience.
Lab website
• (Use the "Apply for this Job" box below)./
How to apply
Send your CV, cover letter, and at least two references.
Final date to receive applications:
#J-18808-Ljbffr
Job Number: 128837
Location: Philadelphia, US
Job Description
Wenbao Yu’s lab at Temple University’s Lewis Katz School of Medicine and Fox Chase Cancer Center is seeking highly motivated postdoctoral Fellows to join us in July 2026. The Yu lab’s work sits at the intersection of genomics, data science, and cancer biology, uncovering how cancer cells adapt, resist therapy, and metastasize.
What you’ll work on
• Computational methodology development
• Single-cell and spatial omics data analysis and interpretation
• Cancer cell plasticity, cell–cell communication, transcriptional and epigenetic regulation
What you’ll bring
• A PhD in computational biology, bioinformatics, genomics, statistics, or related field
• Experience with bulk and single-cell genomic/epigenomic data analysis
• Proficiency in R or Python and HPC experience
• A solid publication record and collaborative mindset
• Prior experience in spatial omics or cancer biology is a plus
Why join?
We offer a supportive, interdisciplinary environment with a strong focus on mentorship, discovery, and career growth. Compensation follows NIH guidelines commensurate with experience.
Lab website
• (Use the "Apply for this Job" box below)./
How to apply
Send your CV, cover letter, and at least two references.
Final date to receive applications:
#J-18808-Ljbffr
Additional Details
- City
- Bethlehem
- State
- Pennsylvania
- Country
- US
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