We’re seeking mission-driven individuals who are passionate about leveraging data and technology to solve real-world problems in emergency care—especially those related to unmet social and behavioral needs, improving access to care, and reducing cognitive overload. Whether you’re a student, researcher, data scientist, engineer, or clinician, the Molina Lab offers opportunities to collaborate, learn, and innovate alongside an interdisciplinary team working to advance health equity, whole-person care, and evidence-based emergency medicine.
We welcome applicants from a variety of backgrounds, especially those with experience in:
- Machine learning / artificial intelligence, including prediction modeling and large language models
- Informatics, including electronic health record data analysis and clinical decision support
- Human-centered design and implementation science
- Qualitative and mixed-methods approaches
- Public datasets, econometrics, and health policy
Strong candidates are curious, collaborative, and committed to building solutions that are both clinically meaningful and scalable in complex, high-acuity environments.
How to Apply
To apply for an open position or express interest in working with us, please email [email protected] with:
- A brief cover letter describing your research interests and relevant experience
- Your CV
- Contact information for 2-3 references
- A portfolio or link to your GitHub and/or publications (optional)
Applications are reviewed on a rolling basis.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.