Teams at Trinity Life Sciences

Analyze patient-level and secondary healthcare data to generate business insights, develop analytical methodologies, summarize findings with statistical techniques, and create visualizations. Translate business questions into analytical solutions, execute recurring and ad hoc projects, and communicate with clients. The role supports healthcare marketing, sales, market assessment, forecasting, segmentation, and engagement analytics while requiring independent ownership, collaboration, leadership, and strong communication.

Analyze and visualize small to large datasets, translate business questions into analytical methodologies and business rules, apply basic statistical techniques, and deliver ad hoc and recurring reporting. The role also supports data wrangling and may involve patient-level healthcare, pharmaceutical, marketing, forecasting, competitive intelligence, and sales analytics.

Owns end-to-end architecture and delivery of data products, including schemas, entity resolution, provenance, schema evolution, and normalization pipelines. Leads conversion of unstructured and semi-structured sources into enterprise-quality datasets using deterministic parsing, LLM-assisted extraction, inference, and human review. Partners with domain experts, data scientists, and AI engineers while applying strong SQL, Python, distributed processing, testing, observability, and CI/CD practices.