Location:
Fully Remote
Job Description
The ideal candidate will bring a blend of technical expertise, scientific acumen, and leadership experience, along with exceptional communication and writing skills to effectively collaborate with researchers, IT professionals, and institutional leadership.
Key Responsibilities
- Lead and manage a team of technical staff supporting HPC clusters, large-scale storage, virtualization platforms, and cloud services.
- Collaborate with researchers to understand computational needs and translate them into scalable, efficient, and secure infrastructure solutions.
- Oversee the design, deployment, and maintenance of research computing systems, ensuring high availability and performance.
- Develop and implement strategic plans for research computing aligned with institutional goals and emerging scientific trends.
- Manage vendor relationships, procurement, and budgeting for research IT resources.
- Ensure compliance with data security, privacy, and regulatory requirements, particularly in health-related research.
- Provide technical guidance and mentorship to team members, fostering a culture of innovation and continuous improvement.
- Prepare high-quality documentation, reports, and grant support materials; contribute to institutional proposals and publications as needed.
Minimum Qualifications
Education:
- Bachelor’s degree in Computer Science, Bioinformatics, Engineering, or a related scientific field; advanced degree (MS/PhD) preferred.
Experience:
- Minimum of 5 years of experience in research computing, with at least 2 years in a leadership or managerial role.
- Knowledge of scientific software and ability to customize and deploy scientific applications.
- Demonstrated experience with:
- High-performance computing (e.g., Slurm, PBS, or similar schedulers)
- Research data storage systems (e.g., Lustre, GPFS, Ceph)
- Virtualization and containerization (e.g., VMware, KVM, Docker, Singularity)
- Cloud platforms (e.g., AWS, Azure, GCP) and hybrid cloud environments
- Familiarity with scientific research workflows, particularly in life sciences or health informatics.
- Superior written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences.
- Experience supporting NIH-funded or other federally funded research projects preferred.
- Knowledge of compliance frameworks such as HIPAA, FISMA, or NIST 800-53 preferred.
- Contributions to open-source or community-driven research computing initiatives preferred.
