Biostatistics Research Associate

Artera

27d•$35 - $45•Remote

About The Position

The Artera Graduate Biostatistics Program invites Master's- and PhD-level statisticians to gain hands-on experience applying biostatistics in the AI healthcare industry. During the 3-month program, Biostatistics Associates will contribute to real product development, clinical evidence generation, and AI model validation projects while receiving structured mentorship and on-the-job training from Artera's Biostatistics team. As a Biostatistics Research Associate at Artera, you will work at the intersection of biostatistics, oncology research, AI model development, and clinical evidence generation. You will work closely with biostatisticians, data analysts, machine learning scientists, clinical operations, medical affairs, regulatory, and product teams to support statistical analyses and data workflows for high-priority oncology programs. This is a hands-on, project-based role working with real-world clinical datasets and contributing to analyses that support AI model development, clinical validation, regulatory submissions, publications, conference abstracts, collaborator updates, and internal decision-making.

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.

Nice To Haves

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.

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.