Teams at Lynx Analytics

Lead end-to-end commercial projects for healthcare and pharmaceutical clients: define milestones, manage resources, budgets and timelines, liaise between clients and technical teams, ensure timely delivery, drive account growth, and pursue cross-sell/up-sell opportunities.

Own solution architecture for client engagements, including data models, system designs, integration patterns, and technology choices. Lead technical discovery, present architectural trade-offs, define reusable standards, and review delivery-team implementations. Build prototypes, proofs of concept, and early pipeline or application components to validate decisions. Partner with engineers to resolve ambiguity, establish testing and monitoring foundations, and contribute to internal tooling and knowledge-sharing.

Lead end-to-end data science engagements combining statistical modeling, machine learning, large-scale data transformation, and generative AI. Build agentic LLM applications, present analytical solutions to C-level stakeholders, lead workstreams, mentor junior data scientists, and collaborate with delivery and account teams. Develop reusable documentation and code libraries while contributing to internal research and education.