Postdoctoral Fellow, Biostatistics

Memorial Sloan-Kettering Cancer Center; New York (NY); On-site; USD 55,000 - 101,000; Full time

Job summary

An innovative research institution is seeking a highly motivated postdoctoral fellow to develop cutting-edge statistical and computational methods in cancer research. This role involves collaborating with leading oncology experts and utilizing advanced omics datasets to study antitumor immune responses. The ideal candidate will have a Ph.D. in a relevant field, a strong background in statistics, and proficiency in statistical programming languages. Join a team dedicated to revolutionizing cancer treatment and making a significant impact on patient care. This is a unique opportunity to contribute to groundbreaking research in a supportive and dynamic environment.

Qualifications

• Ph.D. required with experience in omics and imaging data analysis.
• Strong background in statistics and large dataset management.

Responsibilities

• Develop novel statistical and computational methods for cancer research.
• Collaborate with oncology experts to drive scientific discoveries.

Skills

Statistical programming (Python, R)

Omics data analysis

Imaging data analysis

Unix/Linux systems

Basic shell scripting

Education

Ph.D. in biostatistics, statistics, bioinformatics, or related field

Tools

PyTorch

Pyro

Job description

Pay Range

$55,439 – 100,940

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 at our Sloan Kettering Institute, scientists across MSK collaborate on innovative translational and clinical research that is revolutionizing our understanding of cancer, improving prevention, diagnosis, and treatment. MSK is dedicated to training the next generation of scientists and clinicians, who pursue our mission at MSK and globally.

Job Description

Exciting Opportunity at MSK: We are seeking a highly motivated postdoctoral fellow interested in developing new statistical and computational methods in cancer research. Our group works closely with physicians and biologists to study antitumor immune responses using rich, cutting-edge omics datasets, including single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (ST), and hyperplex immunofluorescence (hIF), derived from tissue samples of cancer patients treated with radiotherapy.

Role Overview:

• Lead the development of novel statistical and computational approaches in collaboration with oncology experts to drive scientific discoveries through real-world data applications.

Key Qualifications:

• Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or a related field, preferably with experience in omics data analysis, imaging data analysis, and modern computational platforms (e.g., PyTorch, Pyro).
• Strong background in statistics with experience working with large datasets.
• Proficient in at least one statistical programming language (e.g., Python, R).
• Experience with Unix/Linux systems and basic shell scripting.

Application Instructions:

• Send a cover letter, CV, and the names of 3 references to Dr. Xinjun Wang at [e-mail].
• Applications will be reviewed on a rolling basis; deadline: June 20, 2025.

Additional Information

Helpful Links:

• MSK Compensation Philosophy
• Review Our Great Benefits Offerings

Closing

MSK is an equal opportunity employer committed to diversity and inclusion. All qualified individuals are encouraged to apply without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status, or other factors. Reasonable accommodations are provided for qualified individuals with disabilities.

Stay in Touch

Register to join MSK’s Talent Community at this link for updates on our organization and opportunities.

Job Details

• Location: USA-NY-New York
• Posted: 2 months ago (2/24/2025)
• Requisition ID: 2025-84030
• Category: Post-Doctoral