Senior Systems Engineer (Healthcare & Life Science) - New York

Qumulo is a company that specializes in managing demanding data through its cloud data platform. They are seeking a Senior Systems Engineer who will lead technical efforts for healthcare and life sciences accounts, partnering with sales and customers to design storage architectures for regulated environments.

Responsibilities:

• Own the technical relationship on healthcare and life sciences opportunities, from discovery and demos through POCs 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 realities of regulated environments: data sovereignty, audit trails, DR, HA, and secure multi-site collaboration
• Build credibility with healthcare IT, research informatics teams, compliance officers, and clinical application owners
• Build and maintain the healthcare technical toolkit: reference architectures, compliance briefs, solution documentation, and competitive positioning

Requirements:

• 8+ years in a customer-facing technical role (Systems Engineer, Solutions Architect, or Healthcare Solutions Engineer) at a software, storage, or tech company, including 4+ years focused on healthcare, life sciences, or pharma
• Strong grounding in unstructured data storage for regulated environments: imaging performance, lifecycle management, secure access, and archival, including NFS, SMB, and object
• Working knowledge of healthcare data workflows: 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 pre-sales engagements end to end in regulated environments
• Comfort engaging clinical, research, IT, compliance, and executive audiences in the same room
• Experience with HL7, FHIR, medical imaging informatics, genomics file formats (FASTQ, BAM, VCF), or research data management platforms
• Background supporting health systems, IDNs, pharma R&D, biotech research, or CROs
• Familiarity with cloud and hybrid architectures for regulated data, and AI/ML in medical imaging or drug discovery
• Working knowledge of CTMS, EDC, LIMS, or drug discovery computational platforms