Bioinformatician II

Bioinformatician II – Cancer Genomics & Single-Cell Biology

The Oliver Lab at Duke University () is seeking a highly motivated Bioinformatician II to join a multidisciplinary research team focused on understanding the mechanisms that drive tumor lineage plasticity, heterogeneity, and drug resistance in lung cancer. Building on recent discoveries (Finlay et al, Cancer Cell, 2024 and Ireland et al., Nature, 2025), our work integrates advanced computational and experimental approaches to define how tumors evolve under therapeutic pressure.

This position offers the opportunity to work at the interface of cancer biology, genomics, and data science, leveraging large-scale datasets from genetically engineered mouse models, organoid systems, and human tumor specimens. The successful candidate will play a central role in analyzing and integrating single-cell, spatial transcriptomic, and multi-omic datasets to uncover new biological insights and therapeutic vulnerabilities.

• 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

• 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

• Work on cutting‑edge questions in cancer biology with direct relevance to therapy resistance and precision medicine
• Access to rich, multi‑modal datasets from state‑of‑the‑art experimental systems and human tumors
• Collaborative, interdisciplinary environment integrating computational and experimental approaches
• Strong track record of high‑impact publications and career development for trainees

Duke University provides an annual base salary range for this position as USD $94,156.00 to USD $. Duke University considers factors such as scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.

Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family‑friendly and cultural programs to eligible team members. Learn more at: (Use the "Apply for this Job" box below)./

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, or military status.

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS; phone: 919‑668‑1267).