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
- 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
- Bachelor's degree in Statistics, MIS, or related field.
- Two years of relevant experience.
- 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
Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.