Faculty Position in Computational Pathology Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center (Hiring Immediately)

Pay Range : $200,000-$308,000 Company Overview :

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a

singular mission : ending cancer for life. Our specialized care teams provide

personalized, compassionate, expert care to patients of all ages. Informed by

basic research done at our Sloan Kettering Institute, scientists across MSK

collaborate to conduct innovative translational and clinical research that is

driving a revolution in our understanding of cancer as a disease and improving

the ability to prevent, diagnose, and treat it. MSK is dedicated to training

the next generation of scientists and clinicians, who go on to pursue our

mission at MSK and around the globe.

Please review important announcements about vaccination requirements and our

upcoming EHR implementation by clicking

here (https : careers.mskcc.orgfrequently-asked-questions).

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Job Description :

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 medicinecell 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 andor 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 analysismachine learningcomputer 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 collaborations

Please send a CV and letter outlining your interest to :

Kojo Elenitoba-Johnson, M.D.

Chairman, Department of Pathology and Laboratory Medicine

Memorial Sloan Kettering Cancer Center

1275 York Avenue

New York, NY 10065

Email : [email protected] (mailto : [email protected])

Closing :

Memorial Sloan Kettering Cancer Center is an EO MFDisabilityVet Employer.