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Genomics Internships Jobs in Washington (NOW HIRING)

DDN

Senior Sales Engineer - US Federal

Washington, DC · On-site

$120 - $180/hr

... genomics processing, AI model training, or autonomous vehicle sensor fusion * Translate technical ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

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Genomics Internships information

What is the difference between Genomics Internships vs Bioinformatics Internships?

AspectGenomics InternshipsBioinformatics Internships
Required CredentialsUndergraduate or graduate in biology, genetics, or related fieldsUndergraduate or graduate in computer science, biology, or related fields
Work EnvironmentLaboratories, research institutions, biotech companiesComputational labs, research institutions, biotech companies
Industry UsageGenomics research, medical genetics, agricultureData analysis, software development, genomic data interpretation

Genomics Internships focus on laboratory-based research involving DNA sequencing, sample preparation, and genetic analysis. Bioinformatics Internships emphasize computational analysis, data management, and software tools for genomic data. Both roles often overlap in research settings but differ mainly in their skill sets and daily tasks.

What are popular job titles related to Genomics Internships jobs in Washington? For Genomics Internships jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Genomics Internships jobs in Washington look for? The top searched job categories for Genomics Internships jobs in Washington are:
What cities in Washington are hiring for Genomics Internships jobs? Cities in Washington with the most Genomics Internships job openings:
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Infographic showing various Genomics Internships job openings in Washington as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 68% Full Time, 16% Part Time, 1% Temporary, and 1% Summer. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution.

Senior Sales Engineer - US Federal

DDN

Washington, DC • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

As a Senior Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems.

You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle.

What You'll DoCustomer Engagement
  • Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
  • Translate technical requirements into elegant, scalable storage solutions that exceed expectations
  • Act as trusted technical advisor throughout the sales cycle
Solution Design
  • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
  • Design for reliability, resilience, security, and scale—balancing performance with data protection
  • Create BOMs, system architectures, and technical proposals for complex RFPs
  • Conduct live demos, POCs, and performance benchmarking
  • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
Innovation & Growth
  • Stay current on AI infrastructure and storage technology trends
  • Collaborate with Product and Engineering teams using field insights
  • Mentor team members and contribute to technical thought leadership
  • Shape product direction based on customer needs
What You BringTechnical Foundation (All Levels)
  • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems
  • Knowledge of architectural patterns for reliability, resilience, security, and scale
  • Understanding of storage and data protocols: S3, POSIX, NFS, SMB
  • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
  • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
  • Aptitude for AI workloads and how storage enables AI innovation
  • Ability to communicate technical concepts to both engineers and executives
Entry Level (0-3 years)
  • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
  • Exposure to storage/systems through coursework, internships, or projects
  • Strong analytical and problem-solving skills
  • Customer-facing communication skills
Experienced (3+ years)
  • 3-8+ years in pre-sales, solutions architecture, or technical consulting
  • Proven track record designing storage/infrastructure solutions
  • Hands-on experience with enterprise storage systems
  • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
  • Success managing complex technical sales cycles
What Sets You Apart
  • Genuine curiosity about AI and its impact across industries
  • Ownership mindset—you solve problems until they're solved
  • Ability to translate technical complexity into business value
  • Thrive in fast-evolving technology environments
  • Collaborative team player with integrity and empathy
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