Responsibilities
- Partner with Clinical, Medical, and Operations teams to apply data science and AI to longevity-focused care delivery, including hormone optimization, metabolic health, cardiovascular risk, and preventative care pathways.
- Develop and evaluate models and AI-driven workflows that support clinicians in delivering personalized, evidence-based longevity care at scale.
- Design and implement agentic AI workflows to assist with tasks such as longitudinal chart review, lab trend interpretation, clinical summarization, follow-up planning, and patient outreach.
- Analyze longitudinal patient data; including labs, vitals, prescriptions, and engagement signals; to identify opportunities to improve outcomes, adherence, and care consistency over time.
- Build analytical frameworks to measure clinical effectiveness, physician productivity, and patient safety in a virtual care environment.
- Collaborate with product and engineering teams to integrate AI-powered tools directly into telehealth clinical workflows, ensuring high usability and clinician trust.
- Define and track key performance indicators related to longevity outcomes (e.g., biomarker improvement, therapy adherence, patient engagement) and operational efficiency (e.g., time per visit, panel capacity).
- Evaluate and monitor AI-assisted clinical tools with a focus on reliability, bias, and real-world performance, incorporating clinician feedback and human-in-the-loop controls.
- Communicate insights, tradeoffs, and recommendations clearly to clinical leaders and cross-functional stakeholders.
- Contribute to shared standards and best practices for responsible, compliant AI use in longevity telehealth.
Requirements
- 5+ years of professional experience in Data Science, Machine Learning, Analytics, or a related quantitative role.
- Master’s degree in a quantitative field (Statistics, Computer Science, Biomedical Informatics, etc.)
- Demonstrated experience working with healthcare data, clinical workflows, or care delivery systems.
- Strong proficiency in Python for data analysis, modeling, and applied machine learning.
- Strong proficiency in SQL and experience working with complex, production healthcare datasets.
- Hands-on experience building and evaluating applied ML or AI systems in real-world settings.
- Understanding of responsible AI considerations in healthcare, including safety, bias, and human oversight.
- Experience collaborating with cross-functional partners in product, engineering, and clinical teams.
- Strong communication skills, with the ability to translate complex technical concepts into clear, actionable guidance for clinical stakeholders.
- Ability to manage multiple projects independently and deliver high-quality work in a fast-paced environment.
Nice to Have
- Advanced clinical training (e.g., MD, DO, RN, PA, NP) or equivalent healthcare experience
- Demonstrated experience analyzing video with computer vision techniques
- Familiarity with modern AI techniques, including LLM-based systems and agentic or workflow-driven AI approaches.
Benefits
- A remote-first work environment
- Competitive compensation and equity options
- Health, dental, and vision insurance coverage
- Short-term disability and basic life coverage
- Flexible Spending Accounts (FSAs)
- Lifestyle Spending Accounts (LSAs)
- We follow federal holidays and have uncapped time off
- Budget for the technology tools you need (laptop, monitor, and/or special software)
- A focus on company-sponsored activities to foster engagement (both virtual and in-person)
- Waived membership fees for any Hone team members utilizing Hone products
Work Arrangement
Remote (Worldwide)
Additional Information
- We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
- We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions.
