High-Dimensional Data Analyst

5 days ago


New York, New York, United States Memorial Sloan Full time
High-Dimensional Data Analyst Position

We are seeking a highly motivated candidate to join our interdisciplinary microbiome research program as a postdoctoral fellow. The successful candidate will work on developing innovative high-dimensional statistical methods, scalable computational algorithms, and accessible software packages for our unique clinical microbiome database of over 10,000 longitudinal stool samples with comprehensive metadata.

The ideal candidate should possess a doctoral degree in biostatistics, statistics, computational biology, bioinformatics, or a related discipline, with experiences in high-dimensional data, compositional data, longitudinal/survival data, and mixture modeling. Additionally, they should have experience in high performance computing systems and/or statistical software development, excellent communication and teamwork skills, and the ability to collaborate with a closely-knit research team consisting of physician-scientists, computational biologists, and wet-lab research technicians.

This position offers exciting opportunities to advance our understanding of microbial associations with patient outcomes, medications, nutrients, or multi-omics, and to answer impactful clinical research questions in a data-driven approach. The postdoctoral fellow will be co-mentored by Drs. Teng Fei and Li-Xuan Qin for an initial period of two years, with the potential for extension into a third year.

Our team at Memorial Sloan Kettering Cancer Center (MSK) is dedicated to providing personalized, compassionate expert care to patients of all ages and training the next generation of scientists and clinicians.



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