Cancer Genomics & Single-Cell Bioinformatician II

Duke PA; Durham, Northern (NC, KY); Hybrid; USD 94,000 - 151,000; Full time

Job summary

The Oliver Lab at Duke University (www.theoliverlab.com) is seeking a highly motivated Bioinformatician II to join a multidisciplinary research team focused on understanding tumor lineage plasticity, heterogeneity, and drug resistance in lung cancer. Our work integrates computational and experimental approaches to define how tumors evolve under therapeutic pressure.

This role offers the chance to work at the interface of cancer biology, genomics, and data science, analyzing single-cell, spatial

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field (or MS with substantial relevant experience)
• Strong programming skills (e.g., Python, R, or equivalent)
• Experience analyzing high-dimensional genomic data, particularly RNA-seq or single-cell datasets
• Demonstrated ability to work independently and flexibly manage multiple projects
• Strong communication skills and ability to collaborate in a team-oriented environment
• Experience with single-cell and/or spatial transcriptomics analysis
• Familiarity with multi-omics data integration
• Experience applying machine learning or statistical modeling to biological datasets
• Experience working in cancer biology or related biomedical fields
• Experience with high-performance computing environments and reproducible workflows

Responsibilities

• Lead and contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets from mouse and human cancer models
• Develop and implement computational pipelines for large-scale genomic data analysis and integration
• Apply statistical and machine learning approaches to identify cell states, lineage relationships, and mechanisms of therapy resistance
• Collaborate closely with experimental biologists to design analyses, interpret results, and guide hypothesis generation
• Contribute to manuscript preparation, grant applications, and presentation of findings at scientific meetings
• Mentor trainees and contribute to a collaborative and interdisciplinary research environment

Skills

Python

R

Genomics data analysis

Education

PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field

MS with substantial relevant experience

Tools

Computational pipelines

High-performance computing

Job description

The Oliver Lab at Duke University (www.theoliverlab.com) is seeking a highly motivated Bioinformatician II to join a multidisciplinary research team focused on understanding tumor lineage plasticity, heterogeneity, and drug resistance in lung cancer. Our work integrates computational and experimental approaches to define how tumors evolve under therapeutic pressure.

This role offers the chance to work at the interface of cancer biology, genomics, and data science, analyzing single-cell, spatial