Researcher

• Demonstrating and applying content knowledge and methodological expertise to study design decisions, project activities, and reporting.
• Contributing to or supervising collection and management of data for projects; · Leading or contributing to designs for rigorous experimental, quasi-experimental, and descriptive studies.
• Leading or contributing to quantitative analysis and write-up of research technical reports, briefs and other project deliverables.
• Carrying out task management activities, including supervising junior staff, communicating with senior managers, and communicating with clients as appropriate.
• Engaging in business development activities, including cultivating relationships with existing and potential new clients, capture planning, managing or writing proposals.
• Supporting collaboration among team members, both internal and external to the organization.
• Contributing to dissemination activities, including presentations, journal manuscripts, issue briefs, data dashboards, infographics and other products for a variety of audiences.
• Mentoring staff, share approaches to solving concrete study design and analytic problems, and provide feedback on the work of others.

Mixed Methods Disability Researcher

• Lead or contribute to the design and execution of Medicaid‑focused research and evaluation projects, including policy analyses, demonstrations, and program evaluations.
• Apply appropriate quantitative methods to collect, manage, analyze, and interpret Medicaid administrative data, such as claims, encounters, enrollment, eligibility, and provider data.
• Conduct analyses that examine Medicaid utilization, access, quality, cost, and equity outcomes across populations and delivery systems.
• Translate complex analytic findings into clear, actionable insights for state and federal Medicaid stakeholders, including client reports, technical memoranda, and presentations.
• Support proposal development for Medicaid‑related work by writing technical sections, contributing to analytic approaches, and supporting proposal strategy.
• Manage small to mid‑sized project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with internal teams and external clients.
• Collaborate closely with programmers, data scientists, policy staff, and project leadership to ensure analytic rigor and alignment with policy objectives.
• Mentor and guide junior staff through feedback, training, and modeling best practices in quantitative and Medicaid policy research.
• Engage with Medicaid stakeholders through meetings, briefings, and dissemination activities.
• Contribute to a collaborative and inclusive work environment.

Medicaid Researcher, Healthcare Innovations

• Production and delivering value to our customers.
• Leverage the Vinci framework to work on a variety of novel applications.
• Experiment with temporal propagation schemas.
• Use pre-existing data generation infrastructure.
• Take modest iterative steps to prove new utility.
• Work with Physicists, AI researchers, Software Engineers and Computational Geometry experts.
• Carry early prototypes through iteration and hardening to customer use.

Physics Applications Researcher

• Talk to customers constantly — running 15-25 customer conversations a week — discovery calls, user interviews, onboarding sessions, churn conversations
• Find the insights that change priorities by synthesizing customer feedback into actionable product recommendations
• Own customer discovery for new product surfaces — mapping landscape and validating product direction
• Be the voice of the customer in all product conversations, ensuring user context drives decisions
• Close the feedback loop after shipping products based on customer research
• Create content from customer conversations that assists marketing and product positioning

Product Researcher

• Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.
• Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.
• Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.
• Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.
• Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.
• Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps.
• Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs.
• Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context.
• Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.
• Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.
• Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

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Mixed Methods Disability Researcher

Medicaid Researcher, Healthcare Innovations

Physics Applications Researcher

Product Researcher

Researcher, Agent Post-Training, API & Power-Users