This hire will be an essential part of our growing research group and lead our data acquisition, management, and analysis. This position requires a high level of independence, including coordinating data collaborations with local and international partners and providing key analytical guidance to our research team.

Key Responsibilities:
• Lead data pipelines and perform advanced statistical analyses.
• Manage data collaborations and programs with local and international partners
• Provide essential analytical guidance to our research team.
• Contribute to manuscripts, grants, and the scientific output of the lab
• Participate in lab meetings and contribute to a collaborative lab environment

Minimum Qualifications
• Bachelor’s degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent experience.
• 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.

Preferred Qualifications
• Master’s or Doctoral degree in public health, biostatistics, epidemiology, or related field
• Prior research, clinical, and/or public health experience
• Strong background in biostatistics and epidemiology
• Proficiency in R, spatial analysis/GIS, and database management (REDCap, SQL).
• Experience with IRB processes.