Sutter Health is looking to solve the problem of effectively adopting and evaluating artificial intelligence (AI) in their workflows, ensuring AI is usable, adopted, safe, effective, and equitable.
Requirements
- Expertise in study design methods (eg A/B, pre/post testing) and statistical analyses (eg power/sample size; subgroup/equity analyses; cost and budget-impact/value realization)
- Knowledge of SQL, Python or R; reproducible analytics
- Skilled facilitator with executives and clinicians; able to translate methods into decision-ready insights
- Developing documentation at a technical and user level; experience with publication-grade writing
Responsibilities
- Participates in artificial intelligence (AI) governance by developing adoption and evaluation methodology
- Scale AI-enabled workflows using evidence-based implementation methods
- Co-design goals and monitoring plans with business and clinical stakeholders
- Align success metrics to operational and clinical goals
- Run hybrid effectiveness–implementation studies with rapid-cycle learning (PDSA)
- Stand up reusable toolkits for readiness, fidelity tracking, equity monitoring, and value assessments
- Collaborates on abstracts/manuscripts and practice-oriented publications to disseminate results internally and externally
Other
- Bachelor's in Applied Statistics, Computer Science or related field
- 5 years recent relevant experience
- Set priorities which accurately reflect the relative importance of job responsibilities and prioritize assignments to complete work in a timely manner
- Analyze information, problems, situations, practices, or procedures in order to identify relevant concerns and factors
- Establish and maintain cooperative working relationships with clients, IS team members, management, and executive personnel/staff
