This role is responsible for the construction, management, and statistical analysis of research data in a systems immunology laboratory. Working closely with faculty and staff, the incumbent will oversee data quality control, statistical modeling, ensuring the integrity and accuracy of all research data. The position requires a high level of independence, as you will collaborate with research teams to provide customized statistical analyses, craft statistical sections for manuscripts and grant proposals, and summarize key findings in a clear and actionable manner. With a focus on delivering precise and meaningful insights, this role is essential to advancing research projects and contributing to the success of scholarly publications and funding applications.

Ideally, a candidate would have extensive experience with python and R, experience with machine learning modeling (PLS-DA/PLS-R, Neural Networks, Random Forest, etc.), next-generation sequencing data handling and analysis, bachelors-level biology and immunology background is a plus, and will be expected to stay current with advancements in Machine Learning and advocate for the appropriate application of those advancements in the lab.

This position is fully on-site with opportunity to transition to a hybrid schedule. 

Salary: $6,983.33 – $14,950 monthly