Postdoctoral Fellow-MSH

Roles & Responsibilities:

The Department of Genetics and Genomic Sciences and the Center of Excellence for Thoracic Oncology in the Tisch Cancer Institute at the Icahn School of Medicine at Mount Sinai in Manhattan, New York leverage state-of-the-art genetic and genomic technologies with deep immunological expertise to uncover biomarkers of response and resistance to immunotherapies and for the rationale design of novel therapeutic strategies. We are seeking a motivated postdoctoral researcher in the area of Computational Genomics in Lung Cancer Biology and Immunology to work with the Hopkins and Tocheva Research Groups. Through an established pipeline with the Center for Thoracic Oncology led by Dr. Fred Hirsch, we use cancer patient-derived organoid/immune cell culture models to study tumor signaling, tumor-T cell interactions and immunotherapeutic responses at individual patient level. To do that, we leverage high-throughput functional immunoassays with single cell proteogenomic profiling technologies, including RNA-sequencing with surface epitope profiling, TCR-sequencing and high-dimensional cytometry. The candidate should have background/experience in genetic and genomic data analysis, more specifically bulk/single cell RNA-sequencing and WES. They will be a part of a multidisciplinary collaborative environment that includes cancer biologists, immunologists, computational biologists and physician-scientists. Computational experience is key requirement for this position.

Duties and Responsibilities:
• Lead, conduct and analyze results pertaining to this research project
• Maintain and analyze genomics/transcriptomics/proteomics data
• Develop and implement algorithms, computational pipelines, statistical methods and software to analyze large-scale human sequencing data and perform integrative analysis
• Interpret data, publish and present novel findings at journals and conferences
• Collaborate and work together with other team members

Requirements:

Preferred Qualifications
• PhD degree in Computation Biology, Bioinformatics, Human Genetics, Computer Science with strong quantitative background
• Experience analyzing large biological datasets
• Expertise in high performance or cloud (e.g., AWS or GCP) computing environments
• Proficiency in Python and R
• Desire and ability to learn quickly, work as part of a productive team, be active team member, think creatively, and apply and design new analytic approaches
• Effective oral, written, and interpersonal communication skills

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