• Develop reusable, modular generative AI components • Build low-level component APIs and SDKs • Implement wrappers and adapters for different models (OpenAI, Anthropic, Llama) • Develop prompt engineering libraries and template management systems • Create text, image and multimodal processing components

• Develop and patch minigames for Minecraft • Collaborate with the team to enhance gameplay • Contribute creative ideas for new game features • Ensure stability and performance of minigames

• Developing coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases. • Leveraging a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client reports, journal manuscripts, abstracts, or posters for professional meetings. • Iteratively developing and maintaining Python code while adopting best practices for increasing efficiency, minimizing computational errors, implementing process improvements, and other approaches that add value to business processes and analytic results. • Participating in thorough code review and documentation, as well as parallel coding efforts for other programmers to maintain quality standards and ensure that code may be efficiently transferred among team members as needed. • Constructing analytic datasets and databases to support deliverables for various public health and healthcare financing engagements. • Collaborating with project team members to review, critically evaluate, and refine business requirements, and then translate those requirements into programming logic. • Adopting and refining technical skills on projects, including working independently, proactively resolving day-to-day issues of small complexity, and leveraging coding best practices and standard. • Participating in continuing education courses on healthcare-related and/or technical coding topics (including learning new coding languages) as applicable to the role and evolving business needs. • Sharing insights gained from the above activities with fellow programmers, leaders, and other division staff through activities such as presentations at staff meetings, contributions to collective codebase utilities, and training early career staff.

• Analyze detailed technical specifications, documented requirements, and business rules to determine appropriate data solutions. • Design and maintain robust logical and physical data models that support enterprise analytics, reporting, and operational data needs. • Develop and maintain complex database objects including tables, views, stored procedures, and functions. • Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from multiple source systems. • Ensure data accuracy and consistency across systems by validating transformations and outputs against defined requirements. • Provide technical guidance related to database development, data modeling, and ETL design. • Support the promotion of database and ETL changes through development, testing, and production environments.