Summary

Seeking to hire an entry-level biostatistician/statistician to join the behavioral and physical activity research group in the Biostatistics and Data Research unit, Children’s Nutrition Research Center (CNRC).  A large part of this role will be working in predictive and/or machine learning statistics.

This is an onsite role.

Job Duties

• Performs duties under the guidance and supervision of a senior biostatistician
• Assists senior biostatisticians in performing mathematical statistical work covering a variety of statistical methods, background research, and analysis
• Apply basic data analytical techniques including descriptive summaries, data visualization, and basic modeling approaches, including but not limited to t-test, ANOVA, their non-parametric analogues, chi-square, correlation, and regression
• Implements data management tasks and study documentation procedures
• Assists faculty conducting background research and methods development
• Assists with interpretation of results including significant factors, relationships, and trends
• Writes technical reports on findings of statistical investigations
• Assists with dissemination of mathematical or statistical concepts to non-statistical audience

Technical Requirements:

• Stay current with knowledge related to the analytical methods needed to analyze different types of data formats and structures
• Stay current with statistical programing and ability to use different software to address the increasing complexity of health-related data
• Utilize quantitative and qualitative data to discover, validate, and enhance the Biostatistics and Data Research unit to benefit the CNRC research and methods development portfolio
• Participates in research and evaluation studies to develop methodology by refining current methods, integrating different methods, or creating novel methods
• Apply measurement and analytical best practices to solve real world statistical challenges
• Conduct literature reviews pertinent to study design or statistical concepts 

Minimum Qualifications

• Bachelor's degree in Statistics, MIS, or related field.
• Two years of relevant experience.

Preferred Qualifications

• Bachelor's degree in one of the following fields: Math, Statistics, Data Science, Experimental Design, Economics, or related field with 2+ years of applied experience or a Master degree with 1+ years of applied experience in one or more of these fields
• Fluent with data and data structures from various sources; able to conduct quality control, query, analyze, and report results to answer relevant research questions
• Strong communication skills
• Working knowledge in predictive and/or machine learning statistics including, but not limited to multi-level regression, semi-parametric models, latent variable modeling, and multivariate analysis
• Comfortable with joining interdisciplinary project teams and provide technical support