Cancer Biostatistics Postdoc: Innovate with Omics Data

Statistics Interest Group; New York (NY); Sur place; USD 61 000 - 81 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

R

Unix/Linux

Shell scripting

Omics data analysis

Formation

Ph.D. in biostatistics or related field

Outils

PyTorch

Pyro

NumPyro

Description du poste

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.