Executive Director, Research Computing and Informatics

When you join the growing BILH team, you’re not just taking a job, you’re making a difference in people’s lives.

Reporting directly to the Chief Academic Officer, BILH/BIDMC, the Executive Director, Research Computing & Informatics, provides strategic and operational leadership for research‑focused IT services across the BILH system, with a primary emphasis on establishing, expanding, and sustaining a comprehensive High Performance Computing (HPC) program, AI/ML research capabilities and next generation cyber infrastructure for research. The Executive Director will partner closely with the BILH IT System Services Liaison for Research.

The Executive Director serves as a bridge between complex research IT capabilities and the academic community, with a demonstrated ability to communicate technical concepts, risks, and opportunities in clear, accessible terms to non‑technical faculty, administrators, and senior leadership. This role partners closely with faculty, research leadership, academic units, and BILH IT System Services to enable data intensive, computational data, and AI‑driven research across disciplines.

BILH is establishing a system‑wide High‑Performance Computing (HPC) Core enabled by a strategic grant from Dell Technologies. The Executive Director will lead the design, deployment, and operation of this enterprise HPC environment and ensure it delivers measurable impact across biomedical research, clinical trials, and AI‑enabled healthcare.

This role is responsible for translating a major capital investment in advanced computing into a durable, secure, and investigator‑focused capability. The Executive Director will bridge biomedical research, clinical informatics, AI governance, and enterprise IT, with an initial focus on AI‑enhanced clinical trial recruitment and large‑scale analysis of BILH‑wide clinical and research data.

The position is foundational to BILH’s strategy for data‑powered precision medicine and will shape how computational resources are accessed, governed, and scaled across the system.

The Executive Director serves as a key architect of the institution’s research computational and AI research strategy, ensuring scalable, secure, and sustainable computing environments that enhance research competitiveness, attract external funding, and accelerate discovery by aligning capabilities with current and future research needs.

Job Description:

Key Responsibilities

Strategic Leadership & Vision

• Develop and lead a comprehensive strategy for research computing, HPC, and AI/ML platforms aligned with institutional research priorities and academic goals.
• Translate institutional research priorities into computing capabilities supporting omics, imaging, clinical data analytics, simulation, and AI/ML workloads.
• Establish a sustainable, scalable ecosystem for advanced computing and AI‑enabled research, supporting modeling, simulation, data analytics, and machine learning workloads.
• Advise the Chief Academic Officer and administrative leadership on trends, opportunities, and risks related to research IT, HPC, AI/ML, and cyberinfrastructure.
• Integrate principles of responsible, ethical, and transparent AI into research computing strategy and operations.

HPC Core Leadership & Delivery

• Lead the implementation, operation, and continuous evolution of the HPC Core, ensuring enterprise‑grade reliability, scalability, performance, and secure access.
• Manage the HPC Core as a viable and sustainable service for the research community, balancing performance, access, and cost.
• Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.
• Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.

Clinical Trials & AI Enablement

• Drive early HPC and AI/ML use cases that strengthen clinical trial recruitment, including AI‑enhanced cohort discovery and analytics.
• Partner with clinical informatics and data teams to support large‑scale querying and analysis of enterprise clinical datasets, including millions of patients, encounters, and clinical notes.
• Ensure strict protection of PHI and regulated data through secure computing…