Research Data Analyst

Description

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

Job Qualifications
Qualifications

Required:

• Bachelor's degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent experience/training.
• 3-5 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science.
• Knowledge of basic and multivariate statistics.
• Knowledge of research design.
• Competency in statistical software applications (e.g., R, SAS, STATA).
• Ability to conceptualize and construct tables and graphs.
• Working knowledge of statistical and/or medical terminology.
• Ability to summarize statistical analyses for collaborators.
• Knowledge of statistical techniques.
• Ability to utilize database management software to run queries and extract data.
• Ability to construct databases.
• Ability to produce visual tools and dashboards that highlight the essential information from a project or study.
• Knowledge of basic office software and applications (e.g., Microsoft Office Suite, Google, Internet search engines, etc.).
• Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies.

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