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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 outcomesmeasures. The Department of Radiation Oncology at MSKCC treats approximately 12,300 patients across 7 locations, with 61 faculty members. Research collaboration opportunities are extensive. Graduating residents are welcome to apply. The ideal candidate should have: - Graduate from an accredited residency program in Radiation Oncology only. If you have any questions about this job opportunity, please contact: Daniel Gomez, MD GomezD@mskcc.org Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission. Salary: $350,000- $555,000 Physician compensation 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. #LI-Onsite#LI-Onsite
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 clinical practices in the United States dedicated to the diagnosis of cancer. The department employs over 125 pathologists supported by a dedicated team of over 1200 allied health staff and state of the art laboratory infrastructure including surgical pathology, immunohistochemistry, cytology, hematopathology, flow cytometry, hematology, immunology, transfusion medicine/cell therapy, microbiology, clinical chemistry, proteomics, cytogenetics, and molecular pathology laboratories. The Department has made a significant investment in digital pathology, with routine scanning of diagnostic slides both prospectively and from the archives of 25 million slides. There is a wealth of image data with accompanying clinical and genomic annotation, allowing for highly impactful research in computational pathology and advanced imaging technologies. The Department has committed to exploring novel technologies for the analysis of pathology specimens and supports a wide range of research using machine learning and computationally assisted imaging platforms. Collaborations are available with members of the diagnostic pathology faculty and with computational faculty within the Department and other institutional programs (Computational Biology, Computational Oncology, Medical Physics, Radiology, etc.). Joint appointment in one or more of these collaborating programs is possible. Opportunities exist to conduct highly impactful research that will influence the practice of pathology and improve patient care as novel technologies pervade the discipline. The Warren Alpert Center for Digital and Computational Pathology (WAC) was established in 2017, with a generous support from The Warren Alpert Foundation. Since the inception of the WAC, the Department of Pathology at MSKCC has assumed a leadership role in digital pathology, technology development, computational innovation, and the operational integration of digital pathology into clinical practice. Through the WAC, we have established an infrastructure for deep learning, which includes a high-performance compute cluster; custom-developed, scanner-agnostic digital slide viewer software; and development of the Honest Broker for Bioinformatics Technology (HoBBIT) database and application, allowing for the management of our growing archive of pathology images and associated data by enabling queries, de-identification for research, and the transfer of digital images and data for user review. - We are seeking candidates to develop novel research programs to drive translational computational methods in Pathology, serving as a liaison between Pathology faculty and Computational Oncology, Clinical Bioinformatics, Medical Physics, and Radiology informatics. The candidate will plan and execute research projects with a focus on precision pathology and cancer care. In addition to conducting primary and collaborative research, the faculty member will have educational responsibilities for medical and graduate students, post-doctoral students, and fellows. Faculty will be eligible to hold appointments in the Gerstner Sloan Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and/or the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC, providing access to exceptional graduate students. MSK offers competitive compensation package with exceptional benefits based on experience and accomplishments. In this role, you will:- Serve as a Scientific Director of the Warren Alpert Center in the Warren Alpert Center for Digital and Computational Pathology - Lead and support a research program on image analysis/machine learning/computer vision as applied to digital images- Help create computer-assisted diagnostic tools for scalable precision pathology diagnostics- Automate data-driven diagnostic workflows to allow pathologists to focus on value-added contributions- Represent the pathology faculty perspective for institutional initiatives in the digital, computational, and AI space- Serve as a mentor to graduate students, PhD candidates, and MSK machine learning and data scientists- Drive and sustain a culture of continuous improvement The ideal candidate should: - Have a PhD or MD or equivalent degree. - Have expertise in the specific area of machine learning applied to image analysis. - Be a problem solver who can manage complex, high quantity and sometimes contradictory information to effectively solve problems.- Be good decision maker, with proven success of making timely decisions that keep the organization moving forward. - Be action oriented and eager to take on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.- Be committed to diversity, equity and inclusion in research collaborationsPlease send a CV and letter outlining your interest to:Kojo Elenitoba-Johnson, M.D.Chairman, Department of Pathology and Laboratory MedicineMemorial Sloan Kettering Cancer Center1275 York AvenueNew York, NY 10065Email: ramkisss@mskcc.org
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 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. MSK ranks in the top 20 on Forbes’ list of America’s best employers for diversity (MSK Ranks in Top 20 on Forbes’ list of America’s Best Employers For Diversity). The largest of MSK’s clinical departments, the Department of Medicine (DoM) encompasses experts in solid tumor oncology, hematologic malignancies, subspecialty medicine and supportive and acute care services. Offering a range of services both in multiple sites in New York City and at their suburban outpatient locations in our Regional Care Network (RCN), DoM physicians oversee the care of the whole patient. The RCN serves the areas surrounding Manhattan and extends from Southern New Jersey to Eastern Long Island and brings the same high level of expertise, clinical care, and access to clinical trial protocols that are available at our main campus in New York City. Candidates must be board certified or board eligible in Hematology. Please click on the link to apply; be sure to include a CV, career statement and any additional relevant information. For further faculty recruitment opportunities, please visit MSKCC Faculty Recruitment Portal. Salary Range: $335,000 - $625,000#LI-Onsite#LI-Onsite
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 publications include: - Chan, et al. Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling. Science, 2022. - Chan, et al. Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer. Cancer Cell, 2021. - Schoenfeld, Chan, et al. Tumor analyses reveal squamous transformation and off-target alterations as early resistance mechanisms to first-lineosimertinib in EGFR-mutant lung cancer. Clinical Cancer Research, 2020. - Offin, Chan, et al. Concurrent RB1 and TP53 alterations define a subset of EGFR-mutant lung cancers at risk for histologic transformation and inferior clinical outcomes. Journal of Thoracic Oncology, 2019. - Chan, et al.Topology of viral evolution. PNAS, 2013. - Singh, Chan, et al. Transforming Fusions of FGFR and TACC Genes in Human Glioblastoma. Science,2012. This position will involve a mixture of methodological development and analysis of large-scale datasets of patient samples from a leadingcancer center, as well as time-series analysis of sophisticated preclinical models through highly collaborative research. This position will require developing and maintaining software packages, assisting or leading in manuscript writing,engaging in a vibrant scientific community through regular work-in-progress and lab meetings, and other academic activities. For further information, please visit the lab website at www.joechanlab.org. The ideal candidate should have: - A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field - Proficiency in Python and R - Prior experience in computational biology - Ability to engage in independent thinking - Excellent skills in written and verbal communication - Collegiality as a team member and a willingness to mentor other trainees - At least 1 published first-author manuscript If you have any questions about this job opportunity, please contact: Dr. Joseph M. Chan, MD, PhD chanj3@mskcc.org Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission. Salary: $70,000-$85,000(depending on postgraduate experience) #LI-Onsite#LI-Onsite
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 New York City and at their suburban outpatient locations in our Regional Care Network (RCN), DoM physicians oversee the care of the whole patient. The RCN serves the areas surrounding Manhattan and extends from Southern New Jersey to Eastern Long Island and brings the same high-level expertise, clinical care, and access to clinical trial protocols that are available at our main campus in New York City. The Genitourinary Oncology Service in the Division of Solid Tumor Oncology, Department of Medicine at Memorial Sloan Kettering Cancer Center is seeking a full-time faculty member at the Assistant Attending level or higher, focusing on clinical care, research and innovation, and teaching. This position would serve as a hybrid role servicing our Manhattan location at the Sidney Kimmel Center for Prostate and Urologic Cancers, and one of our Regional Network sites (New Jersey, Long Island, Westchester, etc.), or a Regional Network Site only. Our 30 full time Genitourinary Oncologists see patients with a wide range of malignant diseases including prostate cancer, bladder cancer, kidney cancer, and testicular cancer, among others. The Genitourinary Oncology Service also supports a wide range of clinical and translational research. For this position, candidates should have a superb clinical and interpersonal skills, must also be a critical thinker, highly motivated, empathetic, and a team player. Candidates must be board certified or board eligible in medical oncology.Please send a CV, a letter outlining your interest and names/contact information of three references via email to: Jonathan Rosenberg, MDRosenbj1@mskcc.orgChief, Genitourinary Oncology ServiceEnno W. Ercklentz Chair With copy to Annie, Administrative Assistant (nga@mskcc.org) #LI-Onsite#LI-Onsite
