Scientific Computing Manager

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

IT Infrastructure and Operations

Job Qualifications:

Skills:

High-Performance Computing (HPC) Systems, HPC, Scientific Research

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking an experienced Scientific Computing Manager to join our program supporting the biomedical research community for our customer with the National Institute of Allergy and Infectious Diseases (NIAID).

As our Scientific Computing Manager, you will be responsible for developing and delivering comprehensive infrastructure and application/end user support services to the NIAID research community. This includes architecture, implementation and ongoing operations of multiple HPC clusters, scientific storage, scientific instrumentations, and application support services for a catalog of over 600 open source, COTS, and custom applications. Your team will provide high-touch, consultative end user support to a research community of approximately 4500. You must be able to simultaneously manage various duties such as project management, operations and maintenance, and team management to ensure customer satisfaction while enhancing the caliber of services delivered.

** PLEASE NOTE: This position is primarily remote; however, you must reside within commuting distance to the client site in Rockville, MD and be able to be onsite from 1 day a week to 1 week a month to meet contractual obligations and project needs. Possible travel to the Montana location.

Responsibilities and Duties:

• Provides day to day team management and oversight of operations, project execution and service delivery for scientific computing infrastructure, application workloads and scientific instrumentation teams 
• Ensures scientific computing service delivery is aligned with program and customer goals; develops strategic roadmaps and tracks KPI’s
• Manages 3 to 4 direct reports and a total team of up to 15 people, including hiring, performance management, training, and mentoring. This includes delegating tasks, providing direction, and inspiring collaboration and teamwork
• Responsible for multiple High Performance Computing (HPC) clusters including all compute, storage and supporting applications
• Supports requirements gathering from internal and external stakeholders
• Manage daily operations, tickets, outages and continuous improvement in operational efficiency
• Work closely with Program Leadership, Federal Leadership, Researchers Enterprise Architecture and PMO to align and coordinate efforts and provide transparency

Required Qualifications and Duties:

• Masters and 5+ years or equivalent combination of education and experience
• Experience with HPC clusters
• Experience with comprehensive scientific computing infrastructure, scientific data storage and/or scientific instrumentation support
• Experience supporting scientific applications and workflows including HPC job optimization, dedicated platform support, specialized computational systems, and computational pipelines
• Experience leading cross-functional teams including scientists and engineers
• Experience with managing multiple complex activities simultaneously
• Experience presenting complex concepts to various stakeholders

Desired Qualifications and duties:

• Education or experience in life or physical sciences, PhD preferred
• Experience working directly with researchers for support and troubleshooting
• Experience with HPC systems and tooling like SLURM, GPFS, Globus
• Experience with scientific research tooling like CryoSPARC, JupyterHub
• Experience deploying and managing cloud based scientific computing resources
• Experience running AI/ML and scientific research workloads
• Excellent written and verbal communication skills

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The likely salary range for this position is $161,500 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

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