The Department of Radiation Oncology at Memorial Sloan Cancer Center (MSKCC) is seeking a qualified Radiation Oncologist candidate for either a combined clinical-research or clinical faculty role at our Nassau and Commack facilities. Both tracks will be considered for this position. The position would involve treating genitourinary and gynecologic malignancies. The position will involve approximately 60-80% clinical effort at the designated facility and 20-40% dedicated research time (pending the clinical or clinical-academic track). The research component of the role can be performed at any Memorial Sloan Kettering facility. Candidates in the research track would be expected to develop both clinical and translational research, such as clinical trials, biospecimen studies, patient-reported outcomes, and health services research. Intracavitary brachytherapy would be a component of the gynecologic clinical expectation. The Department of Radiation Oncology at MSKCC treats approximately 12,000 patients across 7 locations, with 60 faculty members. Salary: 350,000 - 500,000#LIOnsite
The Department of Radiation Oncology at Memorial Sloan Cancer Center (MSKCC) is seeking a qualified Radiation Oncologist candidate for the position of Clinician Investigator focusing on the treatment of breast cancer patients with radiotherapy and conducting investigation in the domain. The Breast Radiotherapy Service in the Department of Radiation Oncology at MSKCC focuses on treatingall subtypes of invasive and in situ breast carcinomas in the primary context as well as when these tumors recur in local, regional and metastatic contexts. The service line is among the busiest in the department at the level of patient visits and treatments delivered. The service has developed a wide-ranging research portfolio of clinical, translational, and health services studies that examine the role of radiation in the context of all breast cancer presentations. The service also has constructed clinical guidelines on the indications for radiation and the optimal techniques, across the spectrum of disease risks/presentations. The Breast Tumor Disease Site Clinician-Investigator will provide clinical services for breast cancer patients and engage in research activity advancing the research mission ofthe service, with performance site primarily in theManhattan location but possibly in one of the regional sites. Principal Duties and Responsibilities: - Participate in the development of clinical guidelines for the radiation treatment of patients with primary and recurrentbreasttumors - Participate in and help leadweekly chart rounds for the service and ensure a high standard of quality for the treatment of primary and recurrent breast tumors - Work closely with the departmental Disease Site Director to develop high-impact clinical trials that address the unmet needs of and improve outcomes in patients with primary breastand recurrent tumors 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. Salary $350,000 - $500,000 #LIOnsite The Department of Radiation Oncology at MSKCC treats approximately 11,500 patients across 7 locations, with 60 faculty members.
Dr. Singer’s Sarcoma Research Lab is seeking an experienced Scientist to join their NIH funded laboratory dedicated to gene target identification and drug discovery in soft tissue sarcoma through a genome-wide genetic and functional analysis. The overall goal of the lab is to perform a comprehensive molecular genetic and functional analysis of soft tissue sarcoma, so as to elucidate the mutational programs and pathways involved in sarcomagenesis and to identify novel therapeutic targets. Sarcoma tissue samples and cell lines are subjected to a multiplatform genome-wide characterization of expression of protein-coding genes and microRNAs, DNA copy number changes, activating mutations, gene rearrangements and methylation profiling. These data are then used to identify both genetically distinct subtypes of sarcoma and molecular signatures associated with tumor morphology, grade, recurrence, and survival. To identify potential therapeutic targets, our lab screens the genes and microRNAs in these signatures for involvement in proliferation, differentiation, and survival of sarcoma cell lines. Potential targets are validated by functional assays in additional cell lines and in xenograft models. Results will be translated into new therapeutics for soft tissue sarcoma. The ideal candidate should have: - Ph.D. or equivalent in biological science - Proficiencyin molecular and cell biology and one or more of the following areas: - Computational biology/NGS data analysis - Cancer biology - Genetically engineered mouse models. - A strong publication record (1st author peer-reviewed publications) - At least 5 years of experience Salary $75,000 - $100,000 Please send CV, bibliography, brief statement of research interests and names of 3 references via email (Including #SingerResearch in the subject line) to: Russell Holmes Surgery Research Lab Operations Manager HolmesR@mskcc.org #LIOnsite
The Choi Laboratory is seekinga highly motivated, creative, and successful individual with a background in molecular biology, synthetic biology, developmental biology, stem cell biology, cancer biology, AND/OR computational biology. The postdoctoral fellow position will conduct research at the interface of mentioned fields, while developing new methods in the nascent field of molecular recording using precision genome editing methods. Additionally, the position may involve leading collaborations across multiple laboratories within MSK, an outstanding hub for science. Successful collaboration projects will offer additional mentoring opportunities. Joining our lab offers a unique opportunity to conduct groundbreaking research at the forefront of the field of molecular recording and synthetic biology, and to collaborate with leading scientists at MSK. While applying for external postdoctoral fellowships is highly encouraged, it is not necessary at the time of the onboarding. To learn more about the lab and PI, please visit https://www.mskcc.org/research/ski/labs/junhong-choi. We look forward to welcoming passionate and talented individuals to our dynamic research environment. The ideal candidate should have: - Proficiency in molecular biology and/or computational analysis methods - A demonstrated mastery of their scientific fields through their Ph.D. research - Excellent communication skills (written and oral) essential for interactions with the PI and lab members, - Willingness to embrace different perspectives in approaching scientific problems, - Ability to engage discussion about their orothers work in a professional manner, and - A sense of responsibility to contribute back to their scientific communities. If you have any questions about this job opportunity, please contact: Stephanie Martinez marts15@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: 61,150– 77,976 (Scale based on the previous experience; details and other benefits can be found at https://www.mskcc.org/education-training/postdoctoral/resources-postdocs/compensation-benefits-resources) #LIOnsite
Position Summary– Clinical-AcademicFaculty at Memorial Sloan Kettering Cancer Center Treating Thoracic Malignancies and Metastases: The Department of Radiation Oncology at Memorial Sloan Cancer Center (MSKCC) is seeking a qualified Radiation Oncologist candidate for acombined clinical-research role at our Commack facility. The position would involve treatingthoracic malignancies and metastases. The candidate would be an active member of both the thoracic disease team and a specialized metastatic disease team, which treats and studies metastatic malignancies across primary tumor types. The position will involve approximately 60% clinical effort at the designated facility and 40% dedicated research time. The research component of the role can be performed at any Memorial Sloan Kettering facility. Candidates would be expected to develop both clinical and translational research, such as clinical trials, biospecimen studies, patient-reported outcomes, and health services research. The Department of Radiation Oncology at MSKCC treats approximately 12,000 patients across 7 locations, with 60 faculty members. Salary Range: $360,000 - $500,000#LIOnsite
The Molecular Cytology Core Facility (MCCF) specializes in bringing advanced molecular detection and imaging technologies to the MSK community. We provide histology, cytogenetics and microscopy services to over 150 research groups, working in every area of preclinical cancer research. Reporting to the Core Director, the candidate will work with the Core team to expand our offerings in the quickly growing field of multiplex protein and nucleic acid imaging for cancer spatial biology. Using our state-of-the art automated stainers, imagers and integrated spatial biology platforms, the candidate will develop new multi-modal panels and assays in collaboration with MSK researchers to generate and analyze high quality experimental data. Key responsibilities include: validating antibodies; identifying and applying appropriate methods to optimize experimental outcomes; assessing experimental quality; troubleshooting issues; and advising users on best practices in experimental design The ideal candidate should have: - PhD in life sciences, with knowledge of cancer biology and related fields - Desire to explore and implement innovative spatial multiplex technologies - Experience with immunohistochemistry, immunofluorescence and/or FISH essential - Experience with automated staining platforms strongly preferred - Experience with biological fluorescence microscopy and image analysis preferred If you have any questions about this job opportunity, please contact: Murray Tipping, Core Director tippingm@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: $84,331-$92,764 #LIOnsite
We are seeking to recruit outstanding Postdoctoral Fellows/Associates to join us in the Pertsinidis lab in the Structural Biology Program at Sloan Kettering Institute/MSKCC in New York City. Our lab develops cutting-edge single-molecule detection and super-resolution optical imaging techniques, and applies these tools to visualize and understand some of the most fundamental biological processes that power cellular life. Examples include modulation interferometry, a single-molecule localization-based super-resolution technique with 1-2 nm 3D precision and target-locking 3D nanoscopy, a technique that achieved single-molecule detection in high background, crowded intracellular environments. These tools have enabled some of the highest resolution single-molecule studies to date, providing new biological insights that could not be obtained before (e.g. Wang et al., Cell 2016; Li et al., Cell 2019). You will have the chance to become an important member of our vibrant, interdisciplinary team, comprising multiple physical and biological scientists. You will have the opportunity to break new grounds in optical imaging, in situ structural biology and biological discovery. Some current interests: 1) building the next-generation single-molecule techniques - to visualize biological processes in live cells with (sub)-millisecond temporal and (sub)-nanometer 3D spatial resolution;2) pushing the limits of extracting high-resolution information from weak signals in optically inhomogeneous, multi-cellular environments - tissue explants, 3D organoids and developing embryos;3) constructing novel single-molecule imaging-based discovery platforms, for both basic biology as well as important biomedical applications (drug discovery, cell-based therapeutics);4) developing new single-molecule imaging and machine learning technologies for in situ structural biology - to enable for the first time high-resolution structural studies inside cells. Requirements:- Desire to tackle outstanding challenges in optics, microscopy and/or single-molecule biology- PhD degree in Physics, Chemistry, Optics, Optical Engineering, Biophysics or a relevant scientific or engineering field.- Ability to work effectively in a collaborative, multidisciplinary environment.Experience with single-molecule detection instrumentation and high/super-resolution optical imaging (e.g. STED/RESOLFT, 4Pi, MINFLUX, SIM, LLS/SPIM approaches, Adaptive Optics, etc.), as well as cryogenics and UHV technologies is preferred but not required. Strong computational skills (e.g. computer vision, deep learning) is a plus. Individuals with additional working knowledge in areas of biochemistry, molecular, cell and developmental biology and/or genetics are strongly encouraged to apply. If you have questions about this opportunity, please reach out to: Dr. Alexandros Pertsinidis(PertsinA@mskcc.org) Please include in this application a CV, names and contact information of three references, and a short description of scientific interests Salary Range: $61,150-$80,315#LI-Onsite
The laboratory of Jonathan Peled is seeking a highly motivated and successful individual with a background in microbiology/microbiome, immunology, and/or prior experience or interest in computational/bioinformatics approaches. The lab focuses on investigating how the gut microbiome interacts with the host immune system in the context of cancer immunotherapy and allogeneic hematopoietic cell transplantation. This includes investigations in mouse models, with cultivated commensal organisms, and human biospecimens. As well, we have a focus on pre-clinical investigation of novel therapeutic approaches that have potential for translation into the clinic. Our group is highly collaborative, both within MSK and outside. The laboratory seeks to develop a diverse and multi-disciplinary team of students, postdocs and research technicians. Projects include:- How does the microbiome affect multiple myeloma biology and treatment response- Investigation of mechanisms by which Enterococci exacerbate graft-vs-host diseases.- Understanding how environmental exposures (e.g. diet, antibiotics) mediate or mitigate microbiome injury in patients receiving cancer therapy or mouse models thereof- Identifying microbiome-derived metabolites that modulate host immunitySee http://www.peledlab.org for more info.Minimum Stipend Level Range Based on Years of Research Experience Since Doctorate: $61,150 - $86,861 The ideal candidate should have: - A Ph.D. or M.D./Ph.D. in microbiology, immunology, cell biology, or related field.- Training in or an interest in learning bioinformatics- Excellent oral and written communication skills- Collaborative skills and the ability to work in a team- Ability to perform self-directed and guided research Please send CV, a letter outlining your interest, and names/contact information of three references via email to: peledj@mskcc.org
The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions. We are seeking exceptional candidates to join our faculty and develop independent investigator-led, computationally-focused cancer research programs. Computational Oncology at MSK has grown to ten faculty members who have created a vibrant, dynamic and collaborative scientific community in the field of computational oncology. Successful candidates will be supported to develop world-leading independent scientific programs to advance our understanding of cancer biology and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, computational biology and other quantitative fields. You will have the opportunity to collaborate with exceptional clinician-scientists, generate unique experimental data, analyze unique real-world datasets and to study biospecimens derived from the MSK patient population. Areas of particular interest include but are not limited to: - Single cell dynamics of tumors - Anti-tumor immunity and immuno-oncology - Drug sensitivity and resistance mechanisms - Computational pathology, medical and cellular imaging - Large language models for cancer data - Multimodal data integration (e.g. genomics with clinical data & pathology images) - Longitudinal analysis of real world data from patients - The cancer microbiome - Computational method development for any of the above areas - Other emerging areas in cancer research Eligible candidates will have a PhD or MD/PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or a related discipline. Candidates with strong backgrounds in machine learning/AI, algorithm development, mathematical modeling, data science or data-driven discovery are strongly encouraged to apply. Our program is located at the newly created Computational Oncology Research Campus of MSK on the Upper East Side of New York, in close proximity to Memorial Hospital, Weill Cornell Medical College, and Rockefeller University. Our faculty are eligible to hold appointments in the Gerstner Sloan-Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School, and the Tri-Institutional Computational Biology & Medicineprogram across MSK and WCMC, providing access to exceptional graduate students. We seek candidates committed to advancing equity, diversity, and inclusion (ED&I) in our research community. At MSK, diversity encompasses the variety of personal experiences, values and worldviews that result from differences in race, ethnicity, gender, age, religion, national origin, language, abilities/disabilities, sexual orientations, socioeconomic status, geographic region and more. Please send your cover letter, curriculum vitae, a summary of current and proposed research programs, and arrange for three letters of recommendation to be sent to: Dr. Sohrab Shah, Chief of Computational Oncology, c/o Cristina Radu, Memorial Sloan Kettering Cancer Center, 321 East 61st Street 4th floor, New York, NY 10065; E-mail: CompOncBST@mskcc.org. Applications should be received by 12/01/2023. To learn more about recent advances from our Computational Oncology labs, please visit: http://CompOncMSK.org/news. #LI-Onsite#LI-Onsite
The Radiation Dosimetry Core and MRI Physics group at Memorial Sloan Kettering Cancer Center (MSKCC) offer a postdoctoral research fellow or research associate position in MRI-guided radiotherapy. The successful candidate will work under the supervision of Grace Tang, a leader in the development of MLC tracking techniques. The main goal of the position is to develop real-time MRI-guided radiotherapy technology via MLC tracking on the MR-linac system for tumors affected by continuous motion. The work involves building machine control interface, experimental validations, and clinical feasibility testing.. 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. Medical Physicists in the diagnostic imaging physics track are actively engaged in several research programs that include molecular, MR and CT imaging as well as the new radionuclide therapies called theranostics. Examples include advanced MR acquisition techniques, motion correction, MR fingerprinting, artificial intelligence, and deep learning for image reconstruction in all imaging modalities. 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. One Elekta Unity MR-linac system, 9 Varian linacs, and 2 ETHOS systems at the Manhattan Campus of MSKCC. 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 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. 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. The ideal candidate should have: - PhD in physics or engineering - Strong experimental and computing skills - Background in Medical Physics is a plus - Experience and knowledge in dosimetry instrumentation, imaging electronics, and linear accelerators is a plus Please submit a CV and brief research statement. If you have any questions about this job opportunity, please contact: Grace Tang, PhD tangg@mskcc.org Salary: $72,071 - $93,730 Postdoctoral Fellows 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.Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to the MSKCC campus may be available. #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 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 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 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
The Clinical Genetics Research Lab 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
We are seeking a highly motivated postdoctoral researcher to join the Adusumilli Laboratory at MSK. The candidate will work with the lab head to design and execute bench experiments, supervise technicians, analyze experimental results, prepare manuscripts, and maintain laboratory records. The laboratory’s focus is on developing and translating adoptive T-cell therapy for the treatment of various solid cancers, including lung cancer, breast cancer, and mesothelioma, using recombinant oncoretroviruses and lentiviruses as vectors. The ideal candidate will have a PhD or MD/PhD, with a background in immunology and experience with mouse models. Knowledge of general oncology and cancer pathogenesis, molecular/genetic concepts, experimental methods, and data analysis is essential. The candidate should be comfortable with the handling of human blood and tissue samples, have strong interpersonal skills, and be able to work in a dynamic environment.https://www.mskcc.org/research-areas/labs/prasad-adusumilliResponsibilities:- Work directly with the lab head to design, develop, and execute bench experiments- Supervise technicians/research fellows in the conduct of bench experiments and coordinate with core laboratories to process samples- Perform data management, analyze experimental results, and draft experimental procedures and manuscripts pertaining to research work- Maintain detailed laboratory records- Familiarity with general oncology and cancer pathogenesis- Knowledge of molecular/genetic concepts, experimental methods, and data analysis- Ability to maximize resources and troubleshoot effectively- Experience with and willingness to work with mouse models- Comfortable with the handling of human blood and tissue samplesRequirements:- PhD or MD/PhD with a background in immunology- Passion for science and a desire to advance the understanding and treatment of cancer- Highly organized and self-directed individual with strong interpersonal skills and the ability to work in a dynamic environment We offer a competitive salary and benefits package, as well as the opportunity to work in a highly collaborative and innovative environment. If you meet the qualifications and are interested in joining our team, please apply with your resume and cover letter. Please direct questions to Patrick Evans, Project Manager (evansp@mskcc.org). Salary: $55,439 – $64,507 Based on PGY* #LI-Onsite#LI-Onsite
Postdoctoral positions are currently available to study mechanisms of microbiome influence on host immunity utilizing mouse models. Successful candidate will have expertise in immunology and will employ a broad range of molecular, microbial, immunological and systems-level techniques across disciplines, and will join a dynamic, collaborative group. REQUIRED QUALIFICATIONS- Ph.D. or equivalent degree in molecular biology, immunology, microbiology or related fields- Publication(s) in a peer reviewed journal- Clear and effective communication skills- Scientific creativity, reliability, and independence in research- Research experience and/or demonstrated interest in host-microbial interactions Please submit a cover letter, CV and 3+ references to:diehlg1@mskcc.org #LIPOST
