Manager of Research Computing Technologies

Overview

Remote
Depends on Experience
Full Time

Skills

VMWare
Cloud
Bioinformatics

Job Details

Position: Manager of Research Computing Technologies
Location: Remote
Job Type: Direct Hire
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, Google Cloud Platform) 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.
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