Senior Biostatistician, Cardio-Oncology Epidemiology

Baylor College of Medicine; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Baylor College of Medicine is seeking a Senior Biostatistician to lead statistical methods and analyses within the Cardio-Oncology Epidemiology Program. You will design studies, perform advanced analyses of clinical datasets, and contribute to publications and presentations.

The role requires translating complex statistics for multidisciplinary teams and managing multiple priorities in a dynamic research environment.

Qualifications

• Master's Degree in Statistics, Biostatistics or a related field.
• Three years of relevant experience.
• PhD in Biostatistics, Statistics, Epidemiology, or related field preferred.

Responsibilities

• Performs statistical analysis and interpretation of data for projects and grants.
• Applies longitudinal, survival, recurrent event, multilevel data methods.
• Develops reproducible analytic workflows using R, SAS and SQL.
• Manages analytic timelines across multiple projects within the Center for Epidemiology and Population Science.
• Produces publication-quality tables, figures and summaries for journals and conferences.
• Presents results to investigators and team members.
• Develops analysis plans for clinical trials and observational studies using causal inference methods.

Skills

EHR data experience

Large observational datasets

Cardiovascular outcomes research

Oncology survivorship research

Health services research

Statistical analysis experience

Education

Master's Degree in Statistics or Biostatistics

PhD in Biostatistics, Statistics, Epidemiology, or related field

Tools

R

SAS

SQL

Job description

Baylor College of Medicine is seeking a Senior Biostatistician to lead statistical methods and analyses within the Cardio-Oncology Epidemiology Program. You will design studies, perform advanced analyses of clinical datasets, and contribute to publications and presentations.

The role requires translating complex statistics for multidisciplinary teams and managing multiple priorities in a dynamic research environment.