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Posted a day ago
Assistant Research Biostatistician
Memorial Sloan Kettering Cancer Center
Requirements
Master's in Biostatistics or related field, Coding proficiency, R expertise preferred, Experience with complex datasets, Git/GitHub familiarity
Skills
RMachine LearningGit
About the role
Responsibilities
- Perform statistical analyses to support clinical and methodological research studies
- Apply and develop machine learning approaches, particularly for pathology image analysis
- Collaborate with multidisciplinary teams across MSK and external international partners
- Write and maintain clean, reproducible code for complex datasets
- Contribute to study design, data interpretation, and the preparation of manuscripts and presentations
- Support ongoing large-scale research initiatives and ensure high-quality data outputs
Requirements
- Master’s degree in Biostatistics OR a Bachelor’s/Master’s degree in a related field (e.g., Statistics, Public Health, Computer Science, Epidemiology)
- Prior experience with coding is required
- Proficiency in R is strongly preferred
- Experience working with complex datasets and analytical workflows
- Familiarity with Git/GitHub preferred
Preferred Qualifications
- Experience applying machine learning to pathology imaging
- Ability to work in a fast-paced, high-performing research environment
- Strong quantitative problem-solving abilities and attention to detail
About the Company
Memorial Sloan Kettering Cancer Center (MSK) is united by a singular mission: ending cancer for life. Our scientists collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer and improving the ability to prevent, diagnose, and treat it. The Vickers Lab is a highly productive research team led by Dr. Andrew Vickers, focusing on methodological and clinical advances in cancer biostatistics.
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Get started — it's freeAssistant Research Biostatistician
Memorial Sloan Kettering Cancer Center · New York
