Scientific Computing Engineer, Digital Pathology

NeoGenomics Laboratories • Aliso Viejo, CA

1d • Onsite

About The Position

As a Scientific Computing Engineer you will lead infrastructure performance for NeoGenomics’ on-premise high-performance computing (HPC) and scientific storage environments and optimizes the edge-to-core data lifecycle to ensure massive volumes of Whole Slide Imaging (WSI) and NGS data flow seamlessly from laboratory instruments to compute resources and long-term storage. You will fine-tunes network throughput, storage latency, and compute job scheduling to ensure the physical laboratory infrastructure functions as a high-velocity launchpad for downstream AI analysis and hybrid cloud processing.

Requirements

• Bachelor’s degree in Computer Engineering, Electrical Engineering, or equivalent work experience required
• 12 or more years of experience in systems engineering with a strong focus on Linux administration and high-performance computing (HPC) environments required
• Manages petabyte-scale storage systems (NAS, SAN, Object Storage) and parallel file systems (e.g., Lustre, GPFS, Isilon, NetApp) in research or clinical settings
• Applies deep expertise in networking optimization for data-intensive workloads (10GbE/40GbE/100GbE, RDMA, TCP/IP tuning)
• Designs hybrid infrastructure connecting on-premise data centers to public cloud providers (Azure, AWS)
• Supports biomedical instrumentation, imaging pipelines, or genomics workflows
• Demonstrates infrastructure mastery with expert-level knowledge of Linux kernel tuning, storage I/O subsystems, and hardware architecture (CPU/GPU/RAM interactions)
• Automates system administration and data movement tasks using Python, Bash, or similar scripting languages
• Configures and manages job schedulers and workload managers (e.g., Slurm, LSF, Grid Engine) for efficient resource allocation
• Applies strong network engineering skills including switching, routing, and firewall configuration for high-throughput scientific data flows
• Uses a rigorous problem-solving approach to troubleshoot complex hardware and software bottlenecks in distributed systems

Responsibilities

• Designs, deploys, and maintains on-premise high-performance computing clusters and scientific storage solutions (e.g., high-throughput NAS, object storage) tuned for large-scale biomedical data
• Optimizes the write path for critical lab instruments (digital pathology scanners, NGS sequencers), ensuring network and storage configurations prevent data bottlenecks during high-volume acquisition
• Architects automated data lifecycle policies to move data efficiently between hot local processing tiers, warm on-premise retention, and cold cloud archival, balancing performance with cost
• Designs and maintains secure, high-bandwidth connectivity (e.g., Direct Connect, ExpressRoute) between on-premise infrastructure and cloud environments (Azure, AWS), partnering with Cloud DevOps teams to enable seamless hybrid workflows
• Monitors and tunes file system performance (I/O profiling), network latency, and job scheduler configurations to meet strict Service Level Agreements (SLAs) for lab turnaround times
• Leads technical evaluation, specification, and procurement of specialized compute hardware (GPU nodes for inference) and storage arrays to support growing data volumes
• Implements robust local backup and disaster recovery strategies for raw instrument data to ensure data integrity and business continuity prior to cloud replication
• Partners with Lab Operations and Engineering teams to troubleshoot complex hardware-software interaction issues at the instrument level
• Ensures all on-premise scientific infrastructure adheres to strict security standards (encryption at rest and in transit) and regulatory requirements (HIPAA, GxP)

Benefits

• We have highly competitive benefits with a variety HMO and PPO options.
• We have company 401k match along with an Employee Stock Purchase Program.
• We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays.
• We offer wellness courses and have highly engaged employee resource groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level