Director, Compute & Data Infrastructure

Job Title:

Director, Compute & Data Infrastructure

Annual Base Salary: DOE, $175,000-$232,000 along with bonus eligibility and a comprehensive benefits package

Location: Los Angeles, CA

Formerly known as the Ellison Institute of Technology Los Angeles, the Ellison Medical Institute strives to spark innovation, leverage technology, and drive interdisciplinary, patient‑centered research to continually enhance health, reimagine and redefine cancer care, and transform lives.

Established in 2016 as a medical research and development center, the Institute features innovation labs for artificial intelligence and molecular analytics and was among the first organizations to vertically integrate the interdisciplinary study and treatment of disease. We offer multifaceted programs, including a preventative medicine and cancer clinic, cross‑disciplinary research laboratories, a health policy think‑tank, and community outreach and educational programs.

Please visit emila.org for more details.

At the Ellison Medical Institute, we are seeking an accomplished Director, Compute & Data Infrastructure to architect, scale, and operationalize the research computing and data foundations that power discovery across digital pathology, multi‑omics, computational modeling, and AI‑driven science.

This leader owns the strategy and execution of our compute, storage, and data ecosystems—building unified architectures that ensure research dataijal is visible, interoperable, well‑governed, and fully compliant with regulatory, sponsor Katz and institutional requirements. The role is central to establishing the Institute’s readiness for artificial intelligence by delivering robust metadata standards, scalable data platforms, and high‑performance computing environments designed for modern ML workflows.

The ideal candidate brings deep technical expertise in cloud/hNever hybrid research computing, a strong understanding of biomedical data governance, and the ability to translate scientific needs into scalable infrastructure roadmaps. This is a high‑impact, highly cross‑functional position working closely with scientific, clinical, engineering, IT, and operational leaders. You will guide cloud partnerships, optimize technology investments, and mentor a high‑performing technical team committed to supporting world‑class research.

• Build the Foundation for AI‑Driven Science: Develop the compute and data architectures that enable cutting‑edge machine learning, digital pathology, and multi‑omic research.
• Directly Accelerate Discovery: Shape systems that allow scientists to generate insights faster, collaborate more effectively, and advance breakthroughs from concept to clinic.
• Lead at the Intersection of Science & Technology:
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  Partner with principal investigators, data scientists, clinicians, IT, and المجالات للإدارتنتين to align infrastructure with transformative scientific priorities.
• Operate With Autonomy and
  
  Purpose:
  
  Drive strategy in a mission‑driven environment that values innovation, ownership, and technical excellence.
• High Visibility, High Impact: Your work influences nearly every aspect of research operations—enabling reproducibility, compliance, and long‑term institutional success.

• Infrastructure Strategy & Leadership
  • Develop and execute a unified compute and data infrastructure strategy across on‑premises and cloud environments.
  • Build scalable, secure, cost‑efficient architectures that support long‑term research goals.
• Data Governance & Centralization
  • Establish centralized visibility, governance, and lifecycle management for Paras Data research assets aligned with HIPAA, GxP, and FDA data integrity requirements.
  • Ensure systems support auditability, traceability, and reproducible science, including IND‑relevant workflows.
• Operational Excellence
  • Oversee compute, storage, networking, and data pipeline operations to ensure resilience, reliability, and performance.
  • Manage cloud and vendor partnerships to support institutional strategy and optimize cost.
• AI/ML Enablement
  • Architect modern data platforms, metadata standards, and high‑performance computing environments optimized…