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Statistical-Immuno-Oncology Postdoctoral Fellow

Memorial Sloan
United States, New York, New York
200 Hudson Street (Show on map)
Oct 31, 2024

Statistical-Immuno-Oncology Postdoctoral Fellow
Job Locations

USA-NY-New York


Requisition ID
2024-82033

Category
Post-Doctoral



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.



Job Description

Exciting Opportunity at MSK:

We are thrilled to invite applications for the position of Statistical-Immuno-Oncology Postdoctoral Fellow. This outstanding role at MSK offers the chance to work at the forefront of immuno-oncology research, contributing to groundbreaking studies that could significantly advance cancer treatment. Equivalent experience is acceptable in lieu of an MSK degree.

Role Overview:

Join our team as a Statistical-Immuno-Oncology Postdoctoral Fellow, where you'll analyze high-dimensional data like flow cytometry and single-cell RNA sequencing. Your findings will contribute to our understanding of patients' responses to immune checkpoint blockade therapies, with access to comprehensive clinical annotation data. Collaborate with top immuno-oncology experts and innovate new approaches to transform cancer treatment.

Key Qualifications:
    Ph.D. degree or equivalent experience in biostatistics, statistics, bioinformatics, or a related field.
  • Experience in high-dimensional data analysis.
  • Strong methodological training in statistics.
  • Proficiency in at least one statistical programming language (Python/R/Matlab).
  • Experience working on Unix/Linux systems and basic shell scripting.
  • Prior experience with single-cell data is desirable.
Core Skills:
  • Outstanding analytical and computational skills.
  • Proven ability to work with large datasets.
  • Proficiency in crafting and implementing impeccable statistical models.
  • Strong collaborative and communication skills to work effectively in a team.
  • Ambitious approach to drive innovative research projects.
Additional Information:

This position is supervised jointly by Drs. Ronglai Shen and Katherine Panageas. The successful applicant will join a world-class team at the Memorial Sloan Kettering Cancer Center, located in the heart of New York City.

Application Instructions: Send a cover letter, CV, and the names of 3 references to Ronglai Shen (shenr@mskcc.org)

Pay Range: $55,439 - 100,940

The pay range for this position is competitive and commensurate with experience. We offer a comprehensive benefits package. For more information, please refer to the helpful links below.

Helpful Links:

  • MSK Compensation Philosophy
  • Review Our Greats Benefits Offerings


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.



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