Research scientist develops reinforcement learning techniques and data pipelines to create preference datasets and reward signals for training large language models.

Research Scientist develops reinforcement learning techniques and data pipelines to generate preference datasets and reward models for training large language models.

Design and execute experiments, surveys, and studies to generate actionable insights that inform organizational decisions across health research programs.

Develops and optimizes semiconductor manufacturing processes through simulation, modeling, and fundamental research to improve yield and efficiency.

Conducts primary and secondary market research, analyzes data, and develops client-ready insights on markets, industries, and consumer trends.

Conduct end-to-end UX research studies including user interviews, usability testing, and journey mapping to inform product design decisions for enterprise healthcare and B2B clients.

Develop pricing strategies and market access recommendations for pharmaceutical clients using data analytics, regulatory intelligence, and pricing software tools.

Design and lead independent research on data quality, online methodologies, and AI's impact on research; publish findings at academic venues and conferences.

Design and lead independent research on data quality, online methodologies, and AI's impact on research, publishing findings at academic venues and industry conferences.

Design and build predictive features from complex datasets using statistical rigor and AI tools to power machine learning models in finance.