Msk
Healthcare & Life SciencesDirect Workday career site

Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events

Location
New York, NY · On-site
Job type
Full-time
Level
Mid-level
Education
Doctorate
Listed
30 days ago

Skills & highlights for this role

  • natural language processing
  • statistical genetics
  • immune-related adverse events
  • quantitative analysis

Also useful

  • GWAS
  • large language models
  • HLA analysis
  • polygenic risk

About Us

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages.

Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events Role Overview * Join the Reznik Laboratory within MSK's Computational Oncology Service, investigating questions at the interface of cancer genomics, systemic physiology, and immuno-oncology using large-scale, multimodal datasets. * Lead collaborative projects to define, predict, and understand immune-related adverse events arising from cancer immunotherapy, including the factors that distinguish single-organ from multisystem toxicity. * Integrate longitudinal clinical text, germline genetics, treatment exposures, laboratory measurements, and patient outcomes to characterize who develops immune toxicity and how these events evolve over time. * Develop projects aligned with your expertise, including computational phenotyping using natural language processing and large language models; germline genetic analyses, including GWAS, HLA, and polygenic risk; or multimodal modeling to identify predictors and potential biological mechanisms of toxicity. * Work closely with computational scientists, geneticists, oncologists, immunologists, and clinicians to address clinically relevant questions.

Key Requirements * A PhD, completed or nearing completion, in a computational or quantitative discipline, including computational biology, bioinformatics, computer science, biomedical informatics, statistical genetics, biostatistics, statistics, engineering, or a related field. * Expertise in at least one of the following areas: textual analysis, natural language processing, or large language models; GWAS, statistical genetics, or germline genomics; or immune-related adverse events or immuno-oncology. * A strong interest in applying computational approaches to understand cancer treatment toxicity and improve patient care. * Enthusiasm for learning new methods and collaborating across disciplines.

Candidates are not expected to have experience in all of the research areas listed above. Application Requirements Strong quantitative reasoning and computational analysis skills. Ability to develop rigorous, reproducible analyses of complex biomedical datasets. Ability to formulate research questions and lead projects independently while contributing to collaborative work.

Clear scientific writing and communication across computational and clinical disciplines.

Submit C.V., letter of interest, and references in your application submission to: Ziad El Bakouny and Ed Reznik and Learn more about working as a Post-Doctoral at MSK: This position offers the opportunity to connect computational method development with clinically important questions about cancer immunotherapy using rich longitudinal clinical and genomic data.

The fellow will join a multidisciplinary research community within MSK's Computational Oncology Service, with close collaboration between quantitative scientists and physicians. Projects can build on the fellow's existing strengths in language models, statistical genetics, or immuno-oncology while providing opportunities to develop expertise in complementary areas.

Pay Range: 72,000-75,000 Helpful links: MSK Compensation Philosophy Review Our Great Benefits Offerings Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

Read the original posting

From Msk's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events job at Msk located?

This Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events position at Msk is located in New York, NY (On-site). Always check Msk's application page for specific state eligibility or relocation policies.

What qualifications are required for Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events at Msk?

For the Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events role, Msk highlights a doctorate; experience with natural language processing, statistical genetics, immune-related adverse events, quantitative analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Postdoctoral Fellow in Computational Immuno-Oncology and Immune-Related Adverse Events position at Msk?

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