artera - Biostatistics Research Associate
Requirements
• Master's degree or higher in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, or a related field. • Experience using R for statistical analysis. • Strong foundation in statistical methods and study design. • Ability to communicate clearly with technical and non-technical collaborators. • Ability to work independently on scoped analyses while incorporating feedback from senior team members. • Interest in applying biostatistics to healthcare, oncology, AI, or clinical product development. • Experience with clinical, biomedical, oncology, pathology, genomics, imaging, real-world health, or clinical trial data. • Familiarity with survival analysis or regression modeling. • Experience with Python, SQL, or cloud compute environments. • Experience creating reproducible analysis workflows using R Markdown, Quarto, Git, or similar tools. • Experience supporting abstracts, manuscripts, scientific presentations, or collaborator-facing analysis deliverables. • Interest in AI/ML applications in healthcare. • ## Program Structure: • Duration: 3 months with a possibility of extension • Location: Remote work in the United States or Canada • Time commitment: Full-time • Mentorship: Associates will receive direct mentorship from Artera’s Biostatistics team • ## Work Authorization Requirement: • This is a remote role open to candidates who are currently authorized to work either in the United States or in Canada without the need for current or future employment-based visa sponsorship. Artera does not sponsor visas for this position. • Eligible candidates may include: • Individuals authorized to work in the United States on a permanent basis, such as U.S. citizens or permanent residents; or • Individuals authorized to work in Canada, such as Canadian citizens or Canadian permanent residents.
Responsibilities
• Support clinical data intake, cleaning, and preparation of analysis-ready datasets for model development and clinical validation. • Conduct exploratory and statistical analyses for retrospective and prospective oncology studies. • Generate tables, figures, and summary outputs for internal review, publications, and regulatory submissions. • Reproduce, validate, and QC existing analyses under supervision. • Document analysis workflows and decisions to support reproducibility. • Collaborate with Biostatistics, AI, Clinical, Product, and Regulatory stakeholders.
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