Postdoctoral Fellow in Computational Genomics and Cancer Data Science

Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data ScienceWe are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science. A successful candidate will develop and apply deep learning and artificial intelligence methods to analyze large scale datasets. We are particularly interested in the area of multimodal integration of real-world data from patients treated at our institution, including clinical, genomic, pathology, and other data modalities. Previous experience working with transformers and foundation models is a strong asset. The candidate will have access to state-of-the-art computational infrastructure and unrivaled data resources, including a unique cohort of >100,000 tumors with available genomic sequencing and co-registered digital pathology slides.Role Overview:Carry out research in the field of artificial intelligence applied to computational oncology.Dive deeply into multimodal datasets and ask novel and clinically relevant questions for translational cancer research.Work together with clinical and biological scientists to advance and execute hypothesis driven research.Prepare and contribute to scientific manuscripts for publication in journals and conferences.Collaborate with academic partners at other institutions and industry partners in biotech, health data, and big tech.Engage with a vibrant community of researchers by presenting at internal work-in-progress meetings and external scientific conferences.Core Skills:A science-focused individual with a passion for advancing computational and/or domain specific research questions.Someone with a strong quantitative background, great programming skills, and a genuine interest in cancer research.Excited by new datasets and the opportunity to look at data in new ways.A strong communicator and collaborator with a team-oriented mindset required to effectively collaborate with clinicians, biologists, and engineers.Key qualifications:A Ph.D. in Applied Mathematics, Machine Learning, Computational Biology, or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required).Strong programming skills (Python and/or R) and experience developing and training state-of-the-art computer vision models, such as vision transformers, using PyTorch for whole-slide image analysis (preferred).Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred).Excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles.Contact:If you have any questions about this opportunity, please contact Dr. Francisco Sanchez-Vega (sanchezf@mskcc.org).Pay range:

$55,439 – 100,940Compensation is based on multiple variables. This range represents annual salary only and does not include supplemental performance-based pay or any one-time payments that eligible candidates may be offered at the time of hire. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to the MSK campus is available.

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