Postdoc: Immuno-Oncology & Immune Toxicity Analytics

Memorial Sloan Kettering Cancer Center; New York (NY); On-site; USD 72,000 - 75,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center seeks a Post-Doctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events. The role sits in the Reznik Laboratory within MSK’s Computational Oncology Service, focusing on immunotherapy toxicity using large-scale datasets.

You will collaborate with oncologists, immunologists, and data scientists to predict and understand immune-related toxicity, applying NLP/LLM approaches, GWAS and multimodal analyses to advance patient care.

Qualifications

• PhD in computational or quantitative discipline in relevant field.
• Experience with textual analysis, NLP, or large language models.
• Interest in cancer immunotherapy toxicity and patient care.
• Willingness to collaborate across disciplines.

Responsibilities

• Lead collaborative projects defining and predicting immune-related adverse events.
• Integrate clinical text, genetics, treatment exposures, and outcomes.
• Develop phenotyping using NLP/LLMs and multimodal modeling.
• Work with clinicians and scientists to address clinically relevant questions.
• Present findings and contribute to translational research.

Skills

Natural language processing

Large language models

Statistical genetics

Immuno-oncology

Education

PhD in computational or quantitative discipline

Job description

Memorial Sloan Kettering Cancer Center seeks a Post-Doctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events. The role sits in the Reznik Laboratory within MSK’s Computational Oncology Service, focusing on immunotherapy toxicity using large-scale datasets.

You will collaborate with oncologists, immunologists, and data scientists to predict and understand immune-related toxicity, applying NLP/LLM approaches, GWAS and multimodal analyses to advance patient care.