Research Scientist

• Lead and contribute to end-to-end research projects using multimodal physiological and behavioral data
• Design rigorous studies and analyses to answer challenging scientific questions
• Develop and apply advanced statistical and computational models to answer meaningful health questions
• Translate evidence and research insights into actionable product solutions
• Build and maintain strong working relationships across Health Science, Data Science, and Product squads
• Contribute to external scientific dissemination through abstracts, posters, and peer-reviewed manuscripts
• Support literature synthesis and help contextualize findings within current evidence

• Build and improve applied ML systems
• Develop, evaluate, and improve models that help identify customer readiness
• Use behavioral, conversational, operational, and CRM data to analyze performance and improve model quality
• Define offline and online evaluation approaches, select metrics tied to business outcomes
• Independently explore new models and enhancements to existing models
• Work closely with product managers, engineers, and other scientists to refine problem statements

Applied Scientist

• Lead process transformation across Analytical Sciences production labs, Foundational Chemistry labs, R&D environments, and Manufacturing Quality Services labs
• Map current-state capabilities while operating in parallel with business-as-usual (BAU) activities
• Identify gaps, redundancies, and inefficiencies across laboratory operations and service delivery models
• Evaluate workflows across multiple sites, teams, and laboratory functions
• Develop and implement skills matrices to assess workforce capabilities and identify proficiency gaps
• Align resources, roles, and processes to optimize efficiency and scalability across the network
• Define and analyze key performance metrics, including samples processed per role, non-conformance/error rates, and time per sample
• Leverage data-driven insights to drive process optimization and continuous improvement
• Implement scalable solutions that enhance throughput, data quality, compliance, and overall operational performance
• Design and implement systems and tools to capture, track, and report key laboratory performance metrics
• Establish standardized methods for data collection, ensuring accuracy, consistency, and traceability
• Enable real-time or near-real-time visibility into operational performance to support decision-making and continuous improvement.

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Research Scientist

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