Postdoc Opportunity at MSK: Research Scholar, Computational Oncology/Immuno Oncology

Memorial Sloan Kettering Cancer Center; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center 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 incumbent will work on multimodal datasets including scRNA-seq, spatial transcriptomics, and mIF to uncover mechanisms of immunology and tumor co-evolution in gastric cancer.

Applicants should hold a Ph.D.

Qualifications

• PhD-level experience in computational biology, single cell omics applied in a cancer setting.
• Experience in high-dimensional data analysis.

Responsibilities

• Lead translational studies integrating multimodal datasets in gastric cancer immunology and evolution.
• Collaborate with immunology, pathology and GI oncology teams.
• Mentor junior researchers and contribute to methodological innovations.

Skills

Computational biology

Single-cell omics

High-dimensional data analysis

Tumor immunology

Education

PhD in biostatistics / computational biology

Tools

scRNA-seq analysis

Spatial transcriptomics

Multiplex immunofluorescence (mIF)

Job description

Role Overview:

We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution. Our investigator group, led by Drs Santosh Vardhana (tumor immunology), Sohrab Shah (computational oncology) and Vivian Strong (gastric cancer surgery) has established a platform that enables 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. We are seeking highly motivated candidates with advanced computational biology skills in the technical areas of single cell and spatial omics, ideally with some background or advanced knowledge of tumor immunology. 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.

Profiles of the co-mentors of this role are listed below:

https://www.mskcc.org/research-areas/labs/sohrab-shah

https://www.mskcc.org/research-areas/labs/santosha-vardhana

Key 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 Core Skills:

PhD-level experience in computational biology, single cell omics applied in a cancer setting

• Experience in high-dimensional data analysis

Preferably have advanced knowledge of topics in tumor biology and immunology Submit C.V., cover letter, and 3 references in your application submission to: Cristina Radu [e-mail]

Salary range $75,000 - $80,000 based on PGY level