GE HealthCare is a leading global medical technology and digital solutions innovator. The Biostatistician I role involves supporting clinical trials through statistical analysis, data preparation, and collaboration with cross-functional teams to generate evidence for medical device programs.
Upfront support of Medical Device clinical trials and research, supporting statistical aspects of study design by assisting with sample size calculation via power analysis and study design, and ensuring the protocol and variables collected support the endpoint analysis
Execute statistical analyses including, but not limited to, established methods such as confidence interval testing, regression models, Bayesian methods, missing data handling, mixed models
Create reproducible code, summary tables, visualizations, and written statistical outputs that support study reports, technical documents, and defend results to regulatory agencies
Prepare analysis datasets by performing data cleaning, validation, formatting, and code reviews
Document statistical approaches and analytical workflows to promote transparency and reproducibility to be documented in the Clinical History File
Collaborate with cross‑functional partners including Clinical Operations, Quality and Regulatory, engineering, and data management teams to support project execution
Qualification
Required
Bachelor's, Master's, or PhD degree in a field requiring advanced statistical training and experience
Experience applying statistical methods to real datasets (via research projects, internships, industry, or academic roles)
Familiarity and/or proficiency with SAS, R, SPSS, or other statistical and business intelligence tools for data analysis, visualization, and core statistical modeling
Understanding of key statistical concepts including hypothesis testing, regression, ANOVA, and multivariate techniques
Strong written and verbal communication skills for summarizing statistical findings. Ability to communicate statistical findings for individuals who are less familiar with statistical findings
Willingness to learn new analytical approaches, tools, and domain‑specific knowledge
Preferred
Experience performing data cleaning, quality checks, or structuring datasets for analysis
Experience communicating quantitative concepts through tutoring, teaching assistance, workshops, or team collaboration
Experience applying statistical tools to healthcare and clinical data
Ability to adapt quickly to new scientific or technical domains, with a strong desire to learn industry‑specific requirements and best practices
Strong organization and attention to detail in coding, documentation, and data workflows
Ability to work effectively within multi‑disciplinary team
Benefit
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
GE HealthCare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
