• Own and pursue a research agenda focused on LLM evaluation, model quality, routing optimization, and AI usage patterns, contributing original insights that advance the field. • Design novel evaluation frameworks and benchmarks that go beyond standard leaderboards, using real-world generation data to capture how models actually perform across tasks and contexts. • Conduct large-scale empirical studies on LLM behavior: how models compare across providers, how performance changes over time, and how usage patterns reveal strengths and weaknesses. • Develop the statistical and mathematical foundations behind our routing systems, building the models and heuristics that power intelligent provider and model selection. • Identify opportunities to apply research findings to feed back into OpenRouter's product and platform. • Collaborate with external researchers, model providers, and the open-source community to advance shared understanding of LLM capabilities and limitations. • Work with product and engineering teams to translate research findings into improvements to OpenRouter's platform, without being constrained to a shipping cadence.

• Define and execute Digital Science's researcher growth strategy, ensuring the channel delivers measurable contribution to company and segment growth objectives. • Build the programs and operating models that convert researcher engagement into commercial outcomes — from first adoption through retention and cross-product expansion. • Partner with Product, Marketing, and segment leaders (Academic, Enterprise, Government, Publisher) to prioritize investments and align initiatives with market priorities. • Build and scale a global researcher community — including ambassador and advocacy programs — that drives awareness, engagement, and commercial growth. • Develop and optimize direct-to-researcher commercial motions that convert engagement into revenue, pipeline, institutional demand, and customer expansion. • Monitor channel performance against targets, flagging risks early and acting decisively. • Build alignment across market, product, marketing, and commercial leaders, establishing shared goals and operating rhythms for coordinated execution. • Define the metrics that quantify the channel's contribution — revenue, pipeline, conversion, retention, lifetime value, cross-product adoption, and community engagement — and drive continuous improvement through experimentation and analysis. • As a member of the Commercial Leadership Team, embed researcher engagement into portfolio planning and product investment decisions, serving as the executive voice for researcher growth at the highest levels of the company.

• Research, prototype and scale new ideas to improve population health and healthcare delivery • Collaborate with analytic and business teams to set objectives, approaches, and work plans • Collaborate with strategy to evaluate existing programs and identify and measure new solutions to impact healthcare • Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights • Collaborate with clinicians and clinical informaticists to define various clinical concepts and extract clinical information from medical, pharmacy, and lab claims for analytics and modeling purposes • Translates analytic results into key takeaways and make recommendations to business partners • Understands department, segment, and organizational strategy and operating objectives, and translate the strategy to work priorities • Make decisions regarding own work methods, occasionally in ambiguous situations with general guidance

• Define and execute the strategy of the Extractables & Leachables technology area in alignment with Product and Technology Roadmaps to influence business direction • Drive the evolution of science-based and proactive E&L approaches, moving beyond reactive compliance and reducing experimental burden through predictive methodologies • Develop and advance mechanistic and data-driven E&L methodologies, including predictive models and integration of toxicological data into risk and safety frameworks • Evaluate emerging industry trends, regulatory developments, and state-of-the-art technologies to identify innovation opportunities and guide scientific direction • Act as internal and external Key Opinion Leader, contributing to industry consortia, regulatory initiatives, scientific publications, and conference presentations • Lead high-level technical discussions with customers and contribute to product qualification strategies, ensuring strong customer value creation and differentiation • Build and leverage internal and external networks while coaching and mentoring scientists and ensuring knowledge transfer across teams and functions