Role OverviewThe Data Scientist II will provide advanced analytical and computational expertise for a multidisciplinary research program focused on human-relevant experimental systems. The role will lead the development and implementation of data analysis pipelines, statistical modeling frameworks, and machine learning approaches to enable integration and interpretation of complex biological datasets.
What You Will Do
The position will support high-dimensional data analysis across virology, imaging, and multi-OMICs platforms, and will contribute to development of standardized, regulatory-aligned data frameworks to support predictive modeling and translational decision-making.
Why It Might Be a Fit
The ideal candidate will have strong expertise in statistical analysis, quantitative modeling, and data interpretation, and will be able to work independently and collaboratively in multidisciplinary environments.
Requirements
- Master’s degree (Ph.D. preferred) in Bioinformatics, Biostatistics, Computational Biology, Data Science, or a related quantitative field
- Minimum of 3 years of relevant experience in data analysis, statistical modeling, or computational biology (or equivalent combination of education and experience)
- Strong expertise in statistical analysis, quantitative modeling, and data interpretation
- Proficiency in programming languages commonly used in scientific computing (e.g., Python, R)
- Demonstrated experience working with complex, high-dimensional biological datasets
- Experience developing reproducible computational workflows and data processing pipelines
- Strong analytical, problem-solving, and communication skills
]]>