Postdoctoral Fellow, Biostatistics

Statistics Interest Group; New York (NY); On-site; USD 61,000 - 81,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center in New York, NY invites applications for a Postdoctoral Fellow in Biostatistics. The role focuses on developing novel statistical and computational methods for cancer research using in-house omics datasets.

The successful candidate will lead methodological development and collaborate with oncology experts, with co-mentors Dr. Ronglai Shen and Dr. Xinjun Wang, leveraging Python, R, PyTorch, and modern computational platforms.

Qualifications

• Ph.D. in biostatistics, statistics, computational biology, bioinformatics, or related field.
• Experience with omics data analysis and imaging data analysis.
• Proficiency in Python or R; Unix/Linux and shell scripting.

Responsibilities

• Lead development of novel statistical and computational methods for cancer research.
• Collaborate with physician-scientists to apply analyses to real-world datasets.
• Work with cutting-edge omics datasets including scRNA-seq, spatial transcriptomics, and hyperplex imaging.

Skills

Python

R

Unix/Linux

Shell scripting

Omics data analysis

Education

Ph.D. in biostatistics or related field

Tools

PyTorch

Pyro

NumPyro

Job description

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Memorial Sloan Kettering Cancer Center – Postdoctoral Fellow, Biostatistics

Company Name Memorial Sloan Kettering Cancer Center

Company Information

Memorial Sloan Kettering Cancer Center (MSK) is one of the world’s premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians, and other health care workers.

Duties and Responsibilities

We are seeking a highly motivated postdoctoral fellow with a strong interest in developing novel statistical and computational methods for cancer research. Our group works closely with physician-scientists to investigate diverse cancer-related questions, including antitumor immune responses and tumor state differentiation, using rich, cutting-edge in-house omics datasets. These datasets include single-cell RNA sequencing, spatial transcriptomics (Visium/VisiumHD, Xenium), and hyperplex immunofluorescence data derived from tissue samples from melanoma, breast cancer, colorectal cancer, and other malignancies.
The successful candidate will have the opportunity to lead the development of innovative statistical and computational approaches while collaborating with world-leading oncology experts to drive scientific discoveries through real-world data applications. The position will be co-mentored by Dr. Ronglai Shen, Chief Attending Biostatistician, and Dr. Xinjun Wang, Assistant Attending Biostatistician.

Position Qualifications

Applicants should hold a Ph.D. degree in biostatistics, statistics, computational biology, bioinformatics, or a related field, ideally with experience in omics data analysis, imaging data analysis, and modern computational platforms (such as PyTorch, Pyro, NumPyro). A strong background in statistics, the ability to work with large-scale datasets, and proficiency in at least one statistical programming language, such as Python or R, are required. Experience with Unix/Linux systems and basic shell scripting is also expected.

Salary Range $55,439 – 100,940