The goals of the position are to support clinical applications of ultrasound imaging and to develop quantitative ultrasound imaging methods broadly applied to cancer diagnosis and response assessment. Clinical support includes oversight of equipment quality assurance and development of clinical tools for diagnostic (breast, cardiac, pancreas), therapeutic (interventional radiology, radiation oncology image guidance), and follow-up clinic (rehabilitation, treatment late effects) applications. Research work is expected to drive new uses of ultrasound in oncology.Key technical areas of interest are the development of quantitative ultrasound methods (shear wave elastography, ultrasensitive Doppler, pulse-echo quantitative ultrasound, contrast-enhanced ultrasound, etc.) and signal processing/deep learning methods to improve and harmonize image quality between instruments, extract new information for diagnosis, treatment guidance, treatment response, and late effect evaluation. The successful candidate will have the opportunity to collaborate with an outstanding group of diagnostic and therapy physicists and engineers in the department of Medical Physics, as well as radiologists, cardiologists, medical and radiation oncologists, and other clinicians at MSK.The successful candidate will work under the supervision of Dr. Mark Burgess. The Department of Medical Physics consists of over eighty faculty physicists and computer scientists plus support staff working on various physical problems related to diagnosis and therapy for cancer, in partnership with radiologists, radiation oncologists, and other medical professionals. MSK is a World leader in imaging and theranostic research and supports one of the largest pre-clinical small animal core facilities in the United States that includes MR, PET, SPECT, CT, ultrasound imaging equipment that provides a conduit for the translation of experimental techniques into clinical trials. Additional highlights include grant-funded research in quantitative MRI, hypoxia imaging, imaging drug delivery, and radionuclide dosimetry. Research and development in radiotherapy physics include the use of artificial intelligence for improved imaging and target localization, real-time tumor tracking, tissue segmentation, treatment planning, and adaptive radiotherapy.Diagnostic, Nuclear, Ultrasound and MRI Medical Physicists play a key role in supporting all imaging devices throughout the MSK enterprise, maintaining and harmonizing acquisition protocols, troubleshooting image artifacts, and maintaining equipment accreditation and regulatory compliance. We support well over 500 imaging instruments that include 40 CT scanners, 21 MR scanners, and 17 PET scanners and work with radiologists in the selection of new imaging equipment and the implementation of new imaging techniques. The MRI and Ultrasound Medical Physics group provides access to state-of-the-art ultrasound imaging equipment and high-performance computer servers for the development of signal processing/deep learning algorithms. Since diagnostic images are at the core of cancer diagnosis and response assessment, we have a strong philosophy to ensure that all imaging equipment throughout the network is operating at the optimum performance, per the overall mission of MSKCC to advance the state of cancer care. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to the MSK campus is available. The ideal candidate should have: - PhD in Physics, Engineering, or a related area- Experience with ultrasound imaging systems and technology.- Hands-on experience using a Verasonics research ultrasound system.- Strong programming skills (MATLAB, Python, etc.).- Excellent verbal and written communication skills. Interested candidates should submit a single pdf file containing the following: - cover letter highlighting research interests and qualifications,- resume/CV,- and list of three references to Dr. Mark Burgess at burgesm1@mskcc.org Salary: $72,071 - $93,730 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 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 different modalities of genomic and genetic data. We welcome applications from candidates with an exceedingly strong quantitative background in computer science, statistics/biostatistics, computational biology, or other related domains. The applicant would be required to have prior experience working on machine learning, optimization, and AI models. The candidate must be proficient in computing, with expertise in Python and computing on GPUs. Prior background in biological sciences will be a plus, but not required. The candidate’s primary affiliation will be with the Sloan Kettering Institute, MSKCC located on the Upper East Side of New York City. It is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College. Sloan Kettering offers competitive postdoc salaries and convenient subsidized housing. The candidate will have regular meetings with Drs Dey and Mazumder and will also be working closely with collaborators from various consortia like ADSP, ENCODE, and IGVF. The candidate will also be working closely with the MSKCC AI/ML team to implement large-scale machine learning models. To apply, please send a CV, a brief cover letter outlining your interest, and names/contact information for three references to the following email addresses: deyk@mskcc.org rahulmaz@mit.edu Salary: $55,439 – 100,940(depending on postgraduate experience) #LI-Onsite#LI-Onsite
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 diverse ancestries (AllofUS, MVP, UKBB). --Develop and apply integrative statistical/ML models to identify disease sub-phenotypes and perform patient risk stratification using multimodal data from Alzheimer's’ patients as part of the ADSP project and different cancer types as part of the MSKCC sequencing cohort. We welcome applications from candidates with an exceedingly strong quantitative background in statistics, biostatistics, computer science, or other related domains. The applicant would be required to have prior experience working with large-scale genetic and omics data, resulting in a high quality first/co-first author publication. The candidate must be proficient in computing, with expertise in R and/or Python. Prior background in machine learning or generative AI models will be a plus, but not required. The candidate’s primary affiliation will be through the Sloan Kettering Institute, MSKCC located on the Upper East Side of New York City. It is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College. Sloan Kettering offers competitive postdoc salaries and convenient subsidized housing. The candidate will have office space in both the Computational and Systems Biology Program, MSKCC and Department of Neurology, Columbia University. The candidate will have weekly meetings with both Dr. Dey and Dr. Wang and will be working closely with collaborators from various consortia like ADSP, ENCODE, and IGVF. To apply, please send a CV, a brief cover letter outlining your interest, and names/contact information for three references to both the following email addresses: deyk@mskcc.org gw2411@cumc.columbia.edu Salary: $55,439 – 100,940(depending on postgraduate experience) #LI-Onsite#LI-Onsite
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 Intrafraction Motion Monitoring.” You will be responsible for developing different deep-learning modules forthis particular application, validating algorithms with clinical data, and preparing manuscripts for publication. You will also be able to participate in the other projects conducted by the research team as deemed fit. The Department of Medical Physics consists of over eighty faculty physicists and computer scientists plus support staff working on various physical problems related to diagnosis and therapy for cancer. MSKCC has an extensive, cutting-edge program in all aspects of radiation oncology physics that seeks to improve the clinical effectiveness of radiation therapy in partnership with radiation oncologists, radiologists, and other medical professionals. Many new programs in radiation therapy research and development are ongoing, including the development of real-time motion adaptation during treatment on the MR-linac and conventional linac platforms, the development and clinical use of predictive models using machine learning/AI for treatment planning, improved treatment planning optimization algorithms, integration of MR and PET imaging into radiotherapy decision making and treatment planning, 4D imaging and motion management, the use of Deep Learning and AI for image analysis and tissue segmentation, and the development of informatics-based adaptive radiotherapy processes (www.mskcc.or/departments/medical-physics). Medical physics resources include thirty linear accelerators, one combined treatment room-MRI-Linac system, six HDR units, CT, PET/CT, MRI simulators, and state-of-the-art inter-and intra-fractional imaging and motion management capabilities. We can access a high-performance computer cluster with the most advanced GPU resources. We also partner with the New York Proton Center, which houses one cyclotron, three rotational gantry treatment rooms, one fixed beam treatment room, one research beam room, PET/CT, two CTs, two MRIs, and related clinical support space. Details of the residency program can be found at https://www.mskcc.org/hcp-education-training/residencies/residency-therapeutic-medical-physics. The successful candidate will be compensated according to the MSKCC standard rates based onexperience. Specific information on employee benefits offered may be found at https://careers.mskcc.org/learn-about-msk/benefits/. The ideal candidate should have: - Doctorate in medical physics, mathematics, computer science, engineering, or similar scientific discipline. - Expertisein medical imaging and deep learning. - Programming skills with Python and Matlab. - Track record of peer-reviewed publications - Additional requirements may be found on our website (www.mskcc.or/departments/medical-physics). If you have any questions about this job opportunity, please contact: Jeanne Estimé, BS Medical Physics, Residency Coordinator Department of Medical Physics estimej@mskcc.org ** Please include a letter of intent, curriculum vitae, three letters, or references in your application submission. Salary: $55,439 - $85,402 #LI-Onsite#LI-Onsite
The Division of Solid Tumor Oncology in the Department of Medicine at Memorial Sloan Kettering Cancer Center seeks to recruit an exceptional academic physician to serve as the Chief of the Thoracic Oncology Service. The Thoracic Oncology Service is one of ten services in the Division of Solid Tumor Oncology that includes, in addition to Thoracic Oncology, Breast Oncology, Genitourinary Oncology, Clinical Genetics, Head and Neck Oncology, Early Oncology Drug Development, Melanoma, Sarcoma, Gastrointestinal Oncology and Gynecologic Medical Oncology. The Thoracic Oncology Service is composed of twenty-five academic faculty who deliver care across New York City and surrounding areas including Long Island, New Jersey, and Westchester County. The faculty consist of experts in treatment of molecularly defined subsets of small cell and non-small cell lung cancer, mesothelioma, thymic cancer, and neuroendocrine lung tumors. The service on average delivers over 27,000 outpatient visits with 2,200 new patients per year. The Thoracic Oncology Program faculty lead a large portfolio of research projects that span the entire research continuum and include faculty based in both wet and dry laboratories. Our highly productive research programs lead over eighty-four clinical trials with major contribution to the FDA approvals of adagrasib, sotorasib, mobocertinib, trastuzumab deruxtecan, and selpercatinib. This work is supported by $325 million in funding in the last 5 years, including $257 million across eighty-eight industrial contracts and sponsored research agreements, $52 million across twenty federal grants, and $16 million in external funding. Faculty in the Thoracic Oncology Program collaborate closely with physicians and physician scientists from across all MSK’s Basic and Clinical Departments. Partnerships with Thoracic Surgery, Radiation Oncology, Radiology, Pathology, Pulmonary and Interventional Pulmonology are extremely strong and facilitate large ambitious research projects. The new Service Chief will report to the Division Head, Solid Tumor Oncology, Dr. Luis Diaz and will have programmatic oversight and operational responsibility for the Thoracic Oncology Service and all its faculty. The Chief will set the strategic, research, clinical and operational priorities for the Service. S/he will champion clinical operations, talent acquisition and retention, research, philanthropy, professional development, mentorship, and teaching. S/he will partner closely with MSK’s senior leadership to set the institutional vision particularly given that thoracic malignancies remain the number one cause of death worldwide. The ideal candidate is highly collegial and experienced in building strong teams that can execute high impact research projects, train the next generation of thoracic oncologists and deliver exceptional clinical care. The ideal candidate will have international recognition as a thought leader in thoracic oncology, and a history of conducting high impact studies in either clinical, translational, laboratory-based, or population science. Interested candidates should apply by sending a brief statement of prior experience, research interests and a CV to Yelena Janjigian, MDjanjigiy@mskcc.org and cc Valentina Salkow, Manager, Academic Recruitment, salkowv@mskcc.org. Expected salary range is $335,000-$655,000 for this role. 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 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 Center, focuses on translational research with the overarching goal of credentialing new therapeutic targets, identifying molecular biomarkers of response, and validating targeted therapeutic strategies for pediatric malignancies.https://www.mskcc.org/research-areas/labs/andrew-kung The ideal candidate should have: - PhD or MD/PhD - Strong publication record, including first author peer-reviewed publications - Prior cancer biology research experience - Excellent communication and writing skills. If you have any questions about this job opportunity, please contact: Nydia Toribio toribion@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: $74,263 - $85,402 #LI-Onsite#LI-Onsite
The Clinical Genetics Research Lab Name is seekinga highly motivated and successful individual with a background in large scale genotyping data analyses. The successful candidate will lead NIH supported projects such as large multi-institutional exome sequencing to identify susceptibility genes to myeloma and lymphoma. The lab has a track record of discovering novel genes contributing to cancer susceptibility. We also developed computational algorithms that predict pathogenicity from NGS data. The position calls for collaborative research within consortia and ability to assume lead role in more than one project. More information isprovided here: (https://www.mskcc.org/research-areas/labs/kenneth-offit/computational-genetics-fellow). The ideal candidate should have: - A PhD in Population Genetics, Cancer Genetics, Computational Genetics or related field. - Experience with next generation sequencing and significant, demonstrable data analyses skills and bioinformatics knowledge. Database skills are desirable. - Strong oral and written communication and organizational skills - Peer reviewed publications in the area - Desirable: Experience with programming for biological data. Please sendCV, a letter outlining your interest and names/contact information of three references via email to: Vijai Joseph PhD Associate Attending Geneticistpostdoccgrl@outlook.com #LI-Onsite#LI-Onsite
The Department of Medical Physicsseeks an established medical nuclear physicist to support our total body positron emission tomography (PET) and Theranostics program. With a history extending over 100 years, and 250 employees, The Department of Medical Physics is one of the oldest and largest medical physics groups in the world. The Radiology Department currently houses a total of 15 PET/CT scanners, one PET/MR and 5 SPECT cameras. Four of the PET/CT scanners are dedicated to specialized procedures: one to research radiotracers produced by an in-house cyclotron and GMP radiochemistry core, two are housed within interventional radiology and used for PET image guided biopsy and one is dedicated for radiotherapy planning. We also are planning to install three additional PET/CTs at various regional centers and a new total body PET/CT scanner at the main campus bringing the total to 20 PET cameras altogether. The successful candidate should be a clinical nuclear medicine / molecular imaging physicist with a Ph.D. or equivalent degree. Since New York is a State that requires Medical Physicist licensure, the successful candidate will need to be American Board of Radiology (ABR) or American Board of Science in Nuclear Medicine (ABSNM) certified in Medical Nuclear Physics, or board eligible. The position will entail both clinical and research related responsibilities, candidates with a strong academic track record are encouraged to apply. The position is open to candidates from all career stages, considered at the Assistant/Associate/Professor levels. The successful candidate will be expected to provide strong support to our clinical PET program, we are searching for a candidate with a strong career research trajectory and track record. There are numerous outstanding and exciting research opportunities at MSKCC and numerous clinical research protocols involving PET and SPECT, many involving the use of novel radiotracers, including tumor specific antibodies, peptides, radiolabeled hormones, hypoxia tracers, metabolism tracers and radiolabeled drugs. Candidates with interests in quantitative PET, theranostics, tracer kinetic modeling, dosimetry, drug delivery and tumor response assessment will be preferred. If you have any questions about this job opportunity, please contact: Stephanie Morales Morales3@mskcc.org Please include a cover letter and CV in your application submission. Salary Range:$151,000 - $303,000 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 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 excelled in these roles consistently. The position will involve 3-4 on-site days and 1-2 clinical/administrative days (on-site vs. remote). The salary is competitive for the region. While prior experience in an attending position is not required, that experience would be welcomed. The Department of Radiation Oncology at MSKCC treats approximately 12,300 patients across 7 locations, with 60 faculty members. 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 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
