Postdoctoral Fellow, Biostatistics

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

Job summary

An established industry player in cancer research is looking for a dedicated postdoctoral fellow to innovate statistical and computational methods. This role involves collaborating with top-tier oncology experts to analyze cutting-edge omics datasets, including single-cell RNA sequencing and spatial transcriptomics. You'll be at the forefront of scientific discovery, applying your expertise in statistical programming and data analysis to real-world applications. If you're passionate about making a difference in cancer research and thrive in a collaborative environment, this opportunity is perfect for you.

Qualifications

• Ph.D. in a related field with experience in omics and imaging data analysis.
• Strong statistics background and proficiency in programming languages like Python or R.

Responsibilities

• Lead development of statistical methods while collaborating with oncology experts.
• Perform administrative tasks to ensure office operations run smoothly.

Skills

Statistical Analysis

Omics Data Analysis

Imaging Data Analysis

Statistical Programming (Python, R)

Unix/Linux Systems

Shell Scripting

Education

Ph.D. in Biostatistics

Ph.D. in Statistics

Ph.D. in Bioinformatics

Ph.D. in Computational Biology

Tools

PyTorch

Pyro

Job description

Exciting Opportunity at MSK: We are seeking a highly motivated postdoctoral fellow with a strong interest in developing new statistical and computational methods in cancer research. Our group collaborates closely with physicians and biologists to study antitumor immune responses using rich cutting-edge in-house 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 while collaborating with world-leading oncology experts to drive scientific discoveries through real-world data applications.
• Perform administrative activities to maintain the smooth operation of the office.

Key Qualifications:

• Ph.D. degree in biostatistics, statistics, bioinformatics, computational biology, or a related field, ideally with experience in omics data analysis, imaging data analysis, and modern computational platforms (such as PyTorch and Pyro).
• Strong background in statistics and comfortability 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 is also required.

Application Instruction:

• To apply, send a cover letter, CV, and the names of 3 references to Dr. Xinjun Wang ([e-mail]).
• Applications will be reviewed on a rolling basis, with a deadline of June 20, 2025.

Pay Range: $55,439 – 100,940