Job Description

Company OverviewThe 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 .Important Note for MSK Employees:Your Career Hub profile is submitted to the hiring team as your internal resume. Please be sure your profile is fully complete with your skills, relevant experience and education (if required). Click to learn more. Please note, this link is only accessible for MSK employees.Exciting Opportunity at MSK: Join our team as Sr. Computational Biologist for the Halvorsen Center for Computational Oncology.The Halvorsen Center for Computational Oncology is seeking a computational biologist with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science. A successful candidate will develop and apply deep learning and artificial intelligence methods to analyze large scale datasets. We are particularly interested in the area of multimodal integration of real-world data from patients treated at our institution, including clinical, genomic, pathology and other data modalities. Previous experience working with transformers and foundation models is a strong asset. The candidate will have access to state-of-the-art computational infrastructure and unrivaled data resources, including a unique cohort of
100,000 tumors with available genomic sequencing and co-registered digital pathology slides. Representative publications from our group include:The candidate will work with collaborators in the hospital and researchers within our group, developing and deploying models for new research questions and providing interpretation of results. and contribute to manuscript writing and publishing. They will also have the opportunity to engage with a vibrant community of researchers by presenting at internal work-in-progress meetings and external scientific conferences.Role Overview:

• Carry out research in the field of artificial intelligence applied to computational oncology.
• Dive deeply into multimodal datasets and ask novel and clinically relevant questions for translational cancer research.
• Work together with clinical and biological scientists to advance and execute hypothesis driven research.
• Prepare and contribute to scientific manuscripts for publication in journals and conferences.
• Collaborate with academic partners at other institutions and industry partners in biotech, health data, and big tech.

Core Skills:

• A science-focused individual with a passion for advancing computational and/or domain specific research questions
• Someone with a strong quantitative background, great programming skills and a genuine interest in cancer research.
• Excited by new datasets and the opportunity to look at data in new ways.
• A strong communicator and collaborator with a team-oriented mindset required to effectively collaborate with clinicians, biologists and engineers.

Key Qualifications:

• A Ph.D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required).
• Strong programming skills (Python and/or R) and experience developing and training state-of-the-art computer vision models, such as vision transformers, using PyTorch for whole-slide image analysis (preferred).
• Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred).
• Excellent oral and written English communication skills; experience in delivering oral scientific presentations and writing scientific articles.

Additional Information:

• Location: MSK\xe2\x80\x99s Computational Oncology Campus, 323 61st Street, in NYC.

Pay Range: $109,300 \xe2\x80\x93 174,800Helpful Links:ClosingMSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Memorial Sloan Kettering Cancer Center