Technical Support Engineer
About the job
- At least 3 years of experience in technical support, solutions engineering, or production operations at a SaaS or data platform company.
- Ability to query SQL databases, read application logs through Grafana or Temporal, navigate AWS or Azure infrastructure, and trace issues through a multi-service backend.
- Strong written communication for technical teams and non-technical clinical users.
- Comfort building processes from scratch.
- Investigate production issues end-to-end across EHR data ingestion, document processing pipelines, AI extraction services, and the application layer; classify root causes and resolve issues or escalate them with full diagnostic context.
- Monitor production systems across multiple customer deployments and cloud environments; identify pipeline failures, data quality drops, and extraction accuracy regressions before customers report them.
- Communicate with clinical users, including research coordinators, tumor registrars, and data managers, by providing clear status updates and honest estimated timelines in non-technical language.
- Build support infrastructure by defining triage workflows, writing runbooks for common failure modes, and setting up monitoring dashboards and alerting.
- Identify recurring issue patterns and translate them into product or engineering priorities.
- Train additional support engineers as the function scales.
- Experience building support tooling, including ticketing, monitoring, or runbooks, at an early-stage company.
- Healthcare technology experience.
- Experience with data pipelines and ability to distinguish data quality issues from application bugs.
- Familiarity with Kubernetes and containerized deployments.
- On-call and incident response experience.
About the company
Triomics uses generative AI to turn unstructured health-record data in oncology into actionable insights. Its OncoLLM analyzes doctor notes, PDFs, and lab results to extract relevant clinical information, with Prism automating patient-to-clinical-trial matching and Harmony curating EHR data for quality reporting and cohort analysis. By integrating with existing EHR systems, it speeds up tasks that used to require hours of manual review and can match patients to trials in minutes with high accuracy. The goal is to reduce manual data review in cancer research and care, accelerate trial enrollment, and support precision oncology for cancer centers, academic medical centers, and health systems.
Company Size
51-200
Company Stage
Series B
Total Funding
$54.2M
Headquarters
New York City, New York
Founded
2020
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Simplify's Take
What believers are saying
- Triomics raised $22 million in May 2026, bringing total funding above $36 million.
- May 2026 reports say customers grew fourfold and annualized recurring revenue rose tenfold.
- January 2026 Mount Sinai and October 2025 MSK deployments prove enterprise adoption momentum.
What critics are saying
- Epic and Flatiron can bundle oncology workflow features and squeeze Triomics by 2027.
- Model errors in trial matching trigger missed enrollments, compliance failures, and clinician distrust immediately.
- If Battery's $22 million Series B fails to convert into durable ARR, Triomics stalls.
What makes Triomics unique
- Triomics sells oncology-specific AI, not generic chart summarization, with source-backed outputs.
- Its platform embeds trial matching, pre-charting, and registry abstraction inside clinician workflows.
- MSK, MD Anderson, Yale, and Mount Sinai validate its oncology-specialized workflow moat.
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Benefits
- Health Insurance
- Flexible Work Hours
- Meal Benefits