computational postdoctoral fellow

**Job Description**
The position seeks a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics to explore the heterogeneity and evolution of tumor cells and the tumor microenvironment (TME) following immunotherapy. The primary research focus will be to employ innovative bioinformatics approaches to dissect the tumor “ecosystem” in human-relevant models of lung cancer and unique cohorts of human lung tissues, profiling phenotypic and functional heterogeneity, lineage plasticity, and evolutionary dynamics of tumor and TME cells, as well as cell-cell interactions to better understand lung cancer development, progression, and therapeutic response.

**Skills & Abilities**
• Strong computational background
• Proficiency in R
• Proficiency in at least one additional scripting language (e.g., Python)
• Knowledge in biostatistics
• Excellent spoken and written communication skills
• Experience working with single cell sequencing data (highly preferred)
• Experience with high-performance computing environment (highly preferred)
• Good understanding of cancer biology, immunology, cell biology, and molecular biology (preferred)
• Proven track record of publications

**Qualifications**
Required Degree(s) in:
• Computational biology
• Bioinformatics
• Data science
• Related field

**Experience**
Other:
• Individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.

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