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The MSKCC Department of Radiation Oncology is one of the nation’s largest. The GU service includes over 20 faculty members practicing across 7 sites focusing on the treatment of primary and oligometastatic prostate, bladder, testis, and renal cancer. The service has robust and wide-ranging research activities involving prospective and retrospective clinical and translational studies that examine the role of radiation in the management of these diseases. The prospective trial portfolio includes both cooperative group studies (e.g. NRG and ANZUP) and investigator-initiated efforts. The service benefits from deep and close collaborations with the Department of Medical Physics and supports a wide range of modalities and technologies including LDR and HDR Brachytherapy, SBRT, MR-based...
Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians and other health care workers. The largest of MSK’s clinical departments, the Department of Medicine (DoM) encompasses experts in solid tumor oncology, hematologic malignancies, subspeciality medicine and supportive and acute care services. Offering a range of services both in multiple sites in...
The Dey Lab in Computational & Systems Biology program at Memorial Sloan Kettering Cancer Center is seeking postdoctoral fellow in machine learning/artificial intelligence and applied statistics to lead inter-disciplinary collaborative projects in biological sciences supervised by Dr. Dey, in collaboration with Dr. Rahul Mazumder, MIT Sloan School of Management (http://www.mit.edu/~rahulmaz/). The candidate will work to --Develop and apply state-of-the-art local and global matrix completion approaches to omics data in the context of human diseases. --Build large scale neural network and graph-embedding models on biomedical and cancer knowledge graphs, with applications to predicting patient risk. --Work on multimodal diffusion and transformer-based language models to connect...
The Dey Lab in Computational & Systems Biology program at Memorial Sloan Kattering Cancer Center is seeking a postdoctoral fellow to lead inter-disciplinary collaborative projects jointly supervised by Dr. Dey and Dr. Gao Wang, Assistant Professor of Neurological Sciences, Columbia University, Department of Neurology (https://www.neurology.columbia.edu/profile/gao-wang-phd). The candidate will work to --Develop new methods in statistical genetics and machine learning/generative AI for integrating multimodal omics data (RNA-seq, ChiP-seq, ATAC-seq, Perturb-seq) with GWAS data to inform fine-mapping and polygenic risk score (PRS) predictions. --Develop new strategies for improving the transferability of the PRS across diverse ancestries using a combination of genetic data from...
We have an opening for a hybrid research and radiotherapy physics residency position in the Department of Medical Physics, with a flexible start date for the right candidate. This is a hybrid residency program in which a two-year grant-funded research project is followed by a two-year clinical residency in radiotherapy physics. Those who enter the 4-year program without CAMPEP credentials will be enrolled in a CAMPEP Certificate program with full tuition support from the department. You will be required to complete a Certificate program during the first two years of the program before entering clinical training. Research for this position will be conducted under Dr. Xiang Li, Ph.D., DABR, on a project titled “Deep Learning Empowered Target Decomposition Technique for Markerless...
The Kung Lab is seekinga highly motivated and successful individual who should be highly proficient in a variety of molecular and cellular biology techniques and have a strong fundamental knowledge of cancer genetics and epigenetics. Candidates with experience in cellular therapy development (e.g., CAR-T, BiTE, TCR) is highly desired. Experience with next generation sequencing (WGS, RNAseq, ChIP-seq), gene editing (CRISPR), and/or mouse cancer models (transgenic or xenograft models) are also desired. The candidate will lead the development and evaluation of cell therapy-based approaches with the goal of translating promising constructs into the clinic for the treatment of pediatric cancer. The laboratory headed by Dr. Andrew Kung, located in the Mortimer B. Zuckerman Research...
The Department of Radiation Oncology at Memorial Sloan Cancer Center (MSKCC) is seeking a qualified Radiation Oncologist candidate for a clinical faculty position in one of our regional facilities in New York, Long Island, or New Jersey (Commack, Nassau, Bergen, or Monmouth). The position is clinically focused and includes treating a range of primary tumor types and enrolling patients in clinical trials open at MSKCC. The successful applicant should demonstrate a desire for a position with a primary clinical focus on excellent patient care. Faculty with an inclination toward clinical management, quality assurance, clinical trial enrollment, and collaborative care across our network of radiation oncologists and in close collaboration with multidisciplinary disease management teams have...
The Department of Radiation Oncology at Memorial Sloan Cancer Center (MSKCC) is seeking a qualified Radiation Oncologist candidate for a clinician-researcher faculty role in our Manhattan or at one of the regional facilities. The position involves treating one or two primary disease sites with a research focus. The position will involve approximately 60% clinical effort at a designated MSK facility and 40% dedicated research time. Clinical coverage is typically 2-3 days at a Memorial Sloan Kettering facility (site based on clinical need). For research, the candidate is expected to develop and lead either clinical or translational research, such as clinical trials, biospecimen studies, novel therapy combinations, and/or health services research including patient-reported...
The Pathology Department and Laboratory Medicine at MSK is seeking an outstanding faculty candidate at the level of Assistant, Associate, or full Member to fill a position dedicated to digital and computational pathology research. Expertise in the areas of machine learning, computer vision applied to digital image analysis or direct-from-tissue microscopic imaging technologies is required, and prior exposure to the analysis of medical images, particularly digital pathology images, is preferred. Applicants must have a PhD, MD or equivalent degree. The ability to conduct independent research is required and a history of obtaining competitive grant funding is desirable.Led by Dr. Kojo Elenitoba-Johnson, the Department of Pathology and Laboratory Medicine at MSK is one of the largest...
The Leukemia Service in the Division of Hematologic Malignancies, Department of Medicine, at Memorial Sloan Kettering Cancer Center is seeking a full-time mid-to senior level Clinical Investigator to lead the Program in Myelodysplastic Syndromes. The Leukemia Service at MSKCC consists of 20 clinical and laboratory based faculty engaged in the clinical care of patients with myeloid and lymphoid malignancies, innovative clinical and translational research, and education. Our clinical and research programs span across our Manhattan, New Jersey, Westchester and Long Island campuses. This position will come with significant resources to enable the expansion of our current MDS clinical and research program. Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer...
The Chan Labin the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Centeris seekinga highly motivated and successful individual with a background in computational biology. The Chan Lab is a new, multidisciplinary group developingmachine learning methods using cutting-edgesingle-cell and cell-free sequencingas well as spatial imaging to study how cell fate decisions mediate metastasis and acquired resistance across different cancer types, and how epigenetic and environmental factors guide this process.A central focus of our work is to quantify lineage plasticity (the capacity to switch to non-canonical phenotypes)to gain insight into the underlying molecular machinery and identify new drug targets to constrain or even reverse plasticity.Representative...