Hone is looking for a Senior Data Scientist to join our Healthcare Operations team. In this senior individual contributor role, you will focus on applying data science and AI to improve clinical outcomes and physician productivity across our virtual care platform. You will own well-scoped, high-impact projects and collaborate closely with Clinical, Medical, and Operations teams to enhance longevity-focused care delivery.
What You'll Do
- Partner with Clinical, Medical, and Operations teams to apply data science and AI to longevity-focused care delivery.
- 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 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.
- Define and track key performance indicators related to longevity outcomes and operational efficiency.
- Evaluate and monitor AI-assisted clinical tools with a focus on reliability, bias, and real-world performance.
- 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.
What We're Looking For
- 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.
- Demonstrated experience analyzing video with computer vision techniques.
- 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.
- Familiarity with modern AI techniques, including LLM-based systems and agentic or workflow-driven AI approaches.
- 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 is strongly preferred.
Technical Stack
- Python
- SQL
Team & Environment
You will report to the Sr. Director, Data, Analytics, and Machine Learning.
Benefits & Compensation
- 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 Mode
This is a fully remote position.
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.
