Artera Technologies Inc. logo

Platform Engineer, Statistical Computing (R)

Job Overview

Location

Remote-US

Job Type

Full-time

Category

DevOps & SysAdmin

Date Posted

April 12, 2026

Full Job Description

đź“‹ Description

  • • As a Platform Engineer, Statistical Computing (R) at Artera Technologies Inc., you will build scalable and reproducible systems for statistical computing at the intersection of biostatistics, R-based analytical workflows, and platform engineering, directly supporting the development of AI-driven cancer therapy personalization tools.
  • • Your day-to-day responsibilities include collaborating with biostatisticians, data analysts, and machine learning engineers to design, implement, and maintain robust, performant, and production-ready statistical workflows that are as critical as the company’s AI models.
  • • You will join a mission-driven AI startup focused on personalizing medical decisions for cancer patients globally, working within a cross-functional team that values technical excellence, reproducibility, and impact in healthcare innovation.
  • • In this role, you will deepen your expertise in statistical computing platforms, gain experience translating complex biostatistical methods into scalable engineering systems, and contribute to tools that directly influence patient outcomes and clinical decision-making at scale.

Skills & Technologies

Remote

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Artera Technologies Inc. logo
Artera Technologies Inc.
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About Artera Technologies Inc.

Artera Technologies provides cloud-based customer communications software for healthcare providers. The platform integrates voice, text, email and chat into electronic health records, enabling automated appointment reminders, billing inquiries, patient outreach and telehealth workflows without changing existing EHR systems. Founded in 2000 and headquartered in San Luis Obispo, California, the company serves over 500 hospitals and 20,000 medical practices across the United States, processing more than 1.5 billion patient interactions annually to reduce no-shows, improve collections and enhance patient satisfaction.

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