Platform Engineer, Statistical Computing (R)

Artera

9d • Remote

About The Position

Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

As a Statistical Computing Platform Engineer at Artera, you will work on the intersection of biostatistics, R-based analytical workflows, and platform engineering to build scalable and reproducible systems for statistical computing.

You’ll work closely with biostatisticians, data analysts, machine learning engineers, and platform teams to ensure that statistical workflows are robust, performant, and production-ready - just as critical as our AI models themselves.

Requirements

• 5+ years of industry experience in software engineering, data engineering, or scientific computing
• 3+ years of hands-on experience with R programming in production or research environments
• Experience developing and maintaining R packages and shared libraries
• Experience building or supporting data platforms, scientific computing environments, or analytical infrastructure
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience with containerization and reproducible environments (Docker, Kubernetes, etc.)
• Strong proficiency in R ecosystem tools (e.g., tidyverse, renv, devtools, pak, shiny app)
• Deep understanding of package management, dependency resolution, and reproducibility
• Ability to design and build scalable systems for analytical workloads
• Strong collaboration skills and ability to work closely with biostatistics and data science teams
• Solid software engineering fundamentals (version control, testing, CI/CD)

Responsibilities

• Develop the long-term vision and roadmap for Artera’s statistical computing platform, enabling scalable and reproducible R-based workflows
• Build and maintain R-based analytical environments for clinical and outcomes research
• Design and operate R package infrastructure, including internal packages, dependency management, and package repositories
• Build and evolve core libraries and tooling used by biostatisticians for analysis, reporting, and model validation
• Partner with biostatisticians to productionize statistical methods and pipelines
• Enable reproducible workflows through containerization, environment management, and versioning (e.g., renv, Docker)
• Integrate statistical workflows into Artera’s broader data and AI platform ecosystem
• Optimize compute, storage, and data access for large-scale clinical and real-world datasets
• Ensure systems meet standards for auditability, reproducibility, and compliance

Benefits

• equity
• 401k matching
• unlimited paid time off (PTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed