Oncology Clinical Navigator

About Triomics

Triomics is creating a modern technology stack for oncology trial sites and investigators. Its platform connects clinical care and clinical research workflows, helping move the healthcare industry toward a model where clinical research is a care option. Powered by an oncology-specific proprietary large language model called OncoLLM™, the product is designed to cut down operational bottlenecks in patient recruitment, data curation, and other time-consuming research tasks so teams can generate better-quality data and accelerate trials. The company is expanding rapidly and building the team that will shape its next stage of growth.

Role Overview

Triomics is looking for an Oncology Clinical Navigator to lead adoption, training, and user enablement for the Triomics platform across customer accounts. This is an internal role that works closely with customers, especially physicians, nurses, and clinical research coordinators who use the software daily. The goal is to make sure the platform is clearly understood, actively adopted, and used to its full value.

The best fit will have direct experience in oncology care or clinical research and understand the realities of a busy cancer center. That background helps build trust with clinicians and research staff, translate clinical needs into product usage, and introduce new technology in a way that feels practical rather than disruptive.

You will collaborate closely with Account Managers, who oversee the broader customer relationship, and with the Forward Deployed Engineering team, which adjusts the AI pipeline and platform to suit customer-specific workflows. In this role, you are the clinical expert who turns adoption into real-world impact.

Key Responsibilities

You will be responsible for driving user adoption, creating training programs, supporting customers through rollout, and feeding product improvement insights back to internal teams.

• Develop and deliver training sessions for physicians, nurses, and CRCs, tailoring content to different workflows and levels of technical familiarity.
• Create reusable enablement materials such as onboarding paths, quick-reference tools, workflow guides, and release update trainings to reduce repeated effort and speed up ramp-up.
• Act as the main clinical adoption partner for assigned accounts and build user confidence in a new way of working.
• Spend time with clinical and research teams at assigned cancer centers to understand their processes, pain points, and objectives.
• Build account-specific adoption plans by identifying champions, sequencing rollout thoughtfully, and supporting teams through change.
• Serve as a bridge between end users and Triomics, translating needs and expectations in both directions.
• Provide direct, hands-on support during go-live and continue supporting steady-state usage after launch.
• Work alongside Account Managers by sharing updates on user sentiment, blockers to adoption, and new opportunities.
• Communicate customer-specific needs to Forward Deployed Engineers so the AI pipeline and platform can be tuned appropriately.
• Capture recurring friction points and feature requests and route them back to Product and Engineering in a structured, prioritized way.
• Offer input on the user interface and platform capabilities to improve clinical usability and support institutional goals.
• Help build repeatable training and adoption playbooks that can scale as the company grows from a few enterprise customers to 25+ logos.
• Keep refining how adoption is measured and improved across accounts.

What Success Looks Like in the First 90 Days

• You have established trust and productive relationships with clinical and research teams at your assigned accounts.
• Your training efforts have clearly improved adoption among end users.
• You are working effectively with Account Managers and FDEs in a coordinated rhythm.
• You have created at least one reusable enablement asset or training track that cuts down on repetition.
• Clinical users view you as credible, helpful, and invested in their success.

Must-Have Qualifications

• 2–4 years of experience as an oncology nurse, clinical research coordinator, or in a similar oncology clinical or clinical-research position.
• Direct experience working in oncology care and/or clinical research in a cancer center or a comparable environment.
• Solid understanding of oncology, including the patient journey from diagnosis through treatment and recovery, along with familiarity with cancer terminology.
• Proven ability to train, onboard, or teach clinical peers and encourage adoption of new tools or workflows.
• Excellent communication and interpersonal skills, with the ability to influence physicians, nurses, and CRCs.
• Comfort with modern software platforms and a strong general technology skill set.
• Availability to work from New York City and come into the office and travel to customer sites, or to be based in a regional customer hub with willingness to travel to assigned accounts and periodically to NYC.

Preferred Qualifications

• Experience in clinical research operations, including trial execution, inclusion/exclusion criteria, patient recruitment, and data abstraction.
• Background as a super-user, trainer, or change leader for an EHR or other clinical software rollout.
• Experience working at a fast-growing health tech company or supporting technically integrated products in a clinical environment.
• Bachelor’s degree or higher in a relevant discipline.
• Familiarity with oncology clinical trial workflows and the cancer center research ecosystem.

Compensation

The salary range for this position is $80,000 to $130,000 per year.

Additional Information

Triomics also describes its platform as an agentic AI layer for oncology EHRs. Cancer hospitals spend heavily on trained staff who manually review unstructured patient records such as pathology reports, clinical notes, and genomic panels to support workflows including trial matching, registry curation, visit preparation, and quality reporting. Triomics replaces that manual effort with task-driven AI agents that operate inside the EMR and process records at scale in real time.

The platform is used by leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. The company has grown 10x over the past year and processes millions of oncology medical documents each month. Its investors include Battery Ventures, Lightspeed, General Catalyst, Nexus Venture Partners, and Y Combinator.