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Qumulo

Software platform for unstructured data management

Senior Systems Engineer - Healthcare & Life Science

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • At least 8 years in a customer-facing technical role such as Systems Engineer, Solutions Architect, or Healthcare Solutions Engineer at a software, storage, or technology company, including at least 4 years focused on healthcare, life sciences, or pharma.
  • Strong grounding in unstructured data storage for regulated environments, including imaging performance, lifecycle management, secure access, archival, NFS, SMB, and object storage.
  • Working knowledge of healthcare data workflows such as medical imaging (DICOM, PACS, VNA), EMR, genomics and bioinformatics pipelines, clinical research data, or pharma manufacturing, as well as HIPAA, HITECH, FDA 21 CFR Part 11, GxP, and data retention requirements.
  • Track record leading complex presales engagements end to end in regulated environments.
  • Comfort engaging clinical, research, IT, compliance, and executive audiences.

Responsibilities

  • Own the technical relationship on healthcare and life sciences opportunities, from discovery and demos through proofs of concept and architecture sign-off.
  • Partner with account teams to qualify deals and shape technical strategies for clinical, research, and regulated workloads, including medical imaging, genomics, drug discovery, and clinical trial data.
  • Design architectures that meet the needs of regulated environments, including data sovereignty, audit trails, disaster recovery, high availability, and secure multisite collaboration.
  • Build credibility with healthcare IT, research informatics teams, compliance officers, and clinical application owners.
  • Build and maintain the healthcare technical toolkit, including reference architectures, compliance briefs, solution documentation, and competitive positioning.

Desired Qualifications

  • Experience with HL7, FHIR, medical imaging informatics, genomics file formats (FASTQ, BAM, VCF), or research data management platforms.
  • Background supporting health systems, integrated delivery networks, pharma research and development, biotech research, or contract research organizations.
  • Familiarity with cloud and hybrid architectures for regulated data, and artificial intelligence/machine learning in medical imaging or drug discovery.
  • Working knowledge of CTMS, EDC, LIMS, or drug discovery computational platforms.

About the Company

Qumulo

Software platform for unstructured data management

Qumulo provides a software platform to store, manage, and curate unstructured data at exabyte scale across edge, core, and cloud environments. It operates as a subscription-based service, with customers paying recurring fees and often using professional services to help with deployment and optimization. What sets Qumulo apart is its ability to handle massive unstructured data across multiple environments in a single system, backed by Gartner recognition and a high NPS. The goal is to help industries like healthcare, media, research, and government store, access, and curate large volumes of data generated by IoT, surveillance, deep learning, and high-resolution content.

Company size
501-1,000
Company stage
Series E
Total funding
$347.3M
Headquarters
Seattle, WA
Founded
2012

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