Postdoc: Computational Immuno-Oncology & Immune Toxicity

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

Job summary

Memorial Sloan Kettering Cancer Center is seeking a Postdoctoral Fellow in Computational Immuno-Oncology within the Reznik Laboratory. The role focuses on investigating immune-related adverse events from cancer immunotherapy using multimodal datasets, including NLP, genetics, and clinical data.

The successful candidate will work with a diverse team of computational scientists, geneticists, oncologists, immunologists, and clinicians to address clinically relevant questions and advance the

Qualifications

• Experience in computational biology, immuno-oncology, and genomics research.
• Familiarity with NLP, large language models, and statistical genetics.
• Ability to lead collaborative, cross-disciplinary projects.

Responsibilities

• Lead collaborative projects to define, predict, and understand immune-related adverse events from cancer immunotherapy.
• Integrate clinical text, germline genetics, treatment exposures, and outcomes to study toxicity evolution.
• Collaborate with computational scientists, geneticists, oncologists, immunologists, and clinicians.

Skills

Computational biology

Immuno-oncology

Natural language processing

Large language models

GWAS

HLA

Polygenic risk

Multimodal modeling

Job description

Memorial Sloan Kettering Cancer Center is seeking a Postdoctoral Fellow in Computational Immuno-Oncology within the Reznik Laboratory. The role focuses on investigating immune-related adverse events from cancer immunotherapy using multimodal datasets, including NLP, genetics, and clinical data.

The successful candidate will work with a diverse team of computational scientists, geneticists, oncologists, immunologists, and clinicians to address clinically relevant questions and advance the