Senior Research Analyst Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required at least once per year for an onsite meeting. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity Truveta is seeking a motivated and results-driven Senior Research Analyst to join Truveta Research. Truveta Research is an internal research organization focused on demonstrating what’s possible with Truveta by producing high-interest, high-quality, trusted research. In this role, you will collaborate closely with a broad set of disciplines, including communications, marketing, engineering, product, and fellow researchers to advance what is possible with healthcare data. You will have the opportunity to w
Role overview
Job description
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Building AI-powered systems that process voice streams and real-time transcriptions to extract structured intelligence, contextual signals, and actionable insights.
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Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable, low-latency agentic workflows.
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Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.
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Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.
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Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.
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Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.
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2 years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures, text classification, entity recognition, dialog, and agentic AI workflows
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Master’s Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines
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Strong foundation in statistics and experiment design, and passion for data are essential for success in this role
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Proficiency in Python, Java or Go or C++, along with strong software engineering skills
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Experience developing and deploying cloud-based AI applications
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Familiar with continuous-deployment projects
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A collaborative mindset and willingness to support and elevate teammates
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Ability to prioritize effectively and deliver incrementally in fast-moving environments.
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Ability to quickly learn new technologies, frameworks, and LLM-related tooling.
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Experience with speech-to-text systems or real-time audio/voice processing.
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Familiarity with agentic AI frameworks or tool-use patterns in LLM systems.
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Experience building low-latency, high-availability ML serving infrastructure.
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Track record of taking ML models from prototype to production at scale.
What they are looking for
Skills & requirements
Qualification
We operate at the intersection of machine learning, LLM-powered systems, and cloud-scale engineering, driving both current and next-generation AI initiatives at Outreach; Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems; Ability to quickly learn new technologies, frameworks, and LLM-related tooling; Familiarity with agentic AI frameworks or tool-use patterns in LLM systems
Department · Engineering
Hiring company
Outreach
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