We are seeking a Scientific Computing Liaison to join a Scientific Technologies team supporting high-performance computing (HPC) and scientific research. This role serves as a critical bridge between researchers and HPC engineering staff, combining scientific domain knowledge with technical expertise to enable effective use of computational resources.
The ideal candidate will work closely with investigators to understand their scientific workflows, guide them in leveraging HPC resources, and collaborate with engineering teams to optimize performance and usability of the HPC environments.
This role is hybrid with 2-3 days a week onsite in Rockville, MD. Travel will not be reimbursed.
Responsibilities:
Serve as the primary liaison between scientific users and the HPC engineering team
Engage with researchers to understand computational workflows, analysis pipelines, and scientific objectives
Guide users in effectively leveraging HPC resources and adopting best practices
Assist in troubleshooting scientific applications, pipelines, and data analysis workflows
Translate scientific requirements into actionable input for HPC engineering improvements
Identify opportunities to enhance user experience, documentation, and service offerings
WHAT YOULL NEED TO SUCCEED:
Required qualifications:
Bachelors degree in bioinformatics, computational biology, data science, or a related scientific field
5+ years of hands-on experience with bioinformatics, scientific data analysis workflows, and/or related fields
Familiarity with a variety of scientific software tools and analytical techniques
Working knowledge of Unix/Linux-based environments and HPC systems (e.g., job schedulers, distributed computing)
Experience in a customer-facing or service-oriented role supporting scientific users
Ability to translate between scientific and technical audiences
Ability to obtain and maintain a Public Trust
Desired skills and abilities:
Masters degree preferred
Exposure to genomics, Cryo-EM data, or other large-scale biological datasets
Familiarity with scripting languages such as Python, Bash, or R
Experience optimizing or troubleshooting computational workflows
Strong communication and problem-solving skills with a user-focused mindset
Ability to manage multiple priorities and work effectively across teams
Collaborative approach with a focus on enabling scientific outcomes
