Postdoc Opportunity at MSK: Research Scholar, Computational Oncology/Immuno Oncology
About The Position
Memorial Sloan Kettering Cancer Center (MSK) is seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution. The investigator group has established a platform for longitudinal acquisition of tumor, normal mucosa, draining lymph nodes, metastases, and peripheral blood from patients with gastrointestinal cancers and pre-malignant lesions, including in the context of neoadjuvant therapies. This pipeline has generated a multimodal immune profiling dataset of cancer patients treated with immunotherapy, including flow cytometry, scRNA-seq, spatial transcriptomics, and co-registered multiplex immunofluorescence (mIF) and H&E whole-slide images, all linked to comprehensive clinical annotations. This is complemented with mechanistic mouse models to functionally establish immune and tumor co-evolutionary networks in gastric tumors, tumor draining lymph nodes and metastases. The position is funded by a 5yr R01 newly awarded to our investigator group. The successful candidate will have the opportunity to lead the science for integrating multimodal datasets addressing fundamental unanswered questions in gastric cancer biology, and addressing the urgent clinical unmet need plaguing patients afflicted with gastric cancer. The fellow will work closely with, and will be mentored by, world-leading experts in computational oncology, immunology, pathology, GI oncology & surgery, with opportunities to develop both methodological innovations and lead discovery-based research.
Requirements
- Hold a Ph.D. in biostatistics, statistics, computer science, computational biology, or related quantitative discipline.
- Have published a 1st author paper from PhD dissertation or postdoctoral research.
- PhD-level experience in computational biology.
- PhD-level experience in single cell omics applied in a cancer setting.
- Experience in high-dimensional data analysis.
Nice To Haves
- Advanced knowledge of topics in tumor biology and immunology.
Responsibilities
- Lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution.
- Integrate multimodal datasets addressing fundamental unanswered questions in gastric cancer biology.
- Address the urgent clinical unmet need plaguing patients afflicted with gastric cancer.
- Develop methodological innovations.
- Lead discovery-based research.
Benefits
- Fair, competitive pay that reflects your job, experience, and skills.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
