Postdoctoral Fellow, Cancer Data Science

Job title:

Postdoctoral Fellow, Cancer Data Science

Company

Memorial Sloan Kettering Cancer Center

Job description

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 pursue our mission at MSK and worldwide. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years. Job Description:Exciting Opportunity at MSK: Postdoctoral Fellow, Computational OncologyThe Tansey lab is seeking to recruit Postdoctoral Fellows to join a dynamic and highly collaborative program in Computational Oncology. The Tansey lab focuses on developing novel data science and machine learning methods that address pressing needs in cancer. Applications will be considered on scientific merit, and we seek to support underrepresented gender, racial, ethnic, and other groups in biomedical sciences, including exceptional candidates for . MSK provides strong support for the development of postdocs, competitive salaries, and benefits.Learn more about the research lab by exploring:Core Skills & Abilities:

• Drive key research questions that crosscut the themes of bayesian statistics, graphical models, causal inference, active learning, spatial modeling, and deep generative models.
• Execute multiple projects that will involve analysis of complex biological and medican data including multi-omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues.
• Develop novel computational methods that power ambitious collaborative projects with high translational impact.

Key Qualifications:

• Hold a PhD or will soon acquire one.
• Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics).
• No advanced knowledge of biology or medicine is required for applicants with quantitative backgrounds.

Pay Range: $55,439 – 100,940Helpful Links: andApplication Requirements:

• Include a CV, cover letter, career statement, and contact information for two references in your application submission.
• If you have any questions about this job opportunity, please contact Dr. Wesley Tansey, Principal investiogator at [email protected].

#LIOnsite Closing:MSK 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.Please review important announcements about vaccination requirements and our upcoming EHR implementation by clicking .

Expected salary

$55439 – 100940 per year

Location

New York City, NY

Job date

Tue, 03 Sep 2024 07:57:03 GMT

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