Hone Health

General

• Conduct comprehensive virtual longevity consultations with a highly engaged patient cohort
• Interpret advanced diagnostics, biomarkers, imaging, and wearable data to develop personalized treatment plans
• Partner with members over time, proactively optimizing health, performance, and longevity through ongoing follow-up and monitoring
• Translate complex medical concepts into practical, actionable recommendations that empower patients to make informed decisions
• Work with the Care Coordination team to ensure all patient inquiries are resolved in a timely manner
• Share ongoing feedback with the Clinical Operations, Product, and Medical Leadership teams to help improve the member journey, physician workflows, and overall care experience based on real-world patient interactions.
• Partner with Hone's Chief Medical Officer to identify opportunities to refine clinical protocols, care pathways, and best practices as the practice evolves.
• Evaluate emerging diagnostics, therapeutics, wearables, and longevity technologies from a practicing physician's perspective, helping inform future clinical offerings and recommendations.
• Participate in regular physician and cross-functional discussions to share clinical insights, best practices, and opportunities to continuously enhance the Hone Black experience.

Longevity Physician, Part-Time

• Deliver Exceptional Longitudinal Care (~70% of Your Time)
• Conduct comprehensive virtual longevity consultations with a highly engaged patient cohort
• Interpret advanced diagnostics, biomarkers, imaging, and wearable data to develop personalized treatment plans
• Partner with members over time, proactively optimizing health, performance, and longevity through ongoing follow-up and monitoring
• Translate complex medical concepts into practical, actionable recommendations that empower patients to make informed decisions
• Work with the Care Coordination team to ensure all patient inquiries are resolved in a timely manner
• Help Build the Hone Black Medical Infrastructure (~30% of Your Time)
• Work with Hone’s Chief Medical Officer to design clinical care pathways and physician workflows
• Develop scalable treatment protocols and diagnostic frameworks
• Evaluate emerging diagnostics, therapeutics, wearables, and longevity technologies
• Define where Hone provides care directly versus coordinates with external specialists
• Help shape the digital treatment plan and physician experience
• Improve how AI and technology support clinical decision-making without replacing physician judgment
• Serve as a thought leader and spokesperson for Hone externally, including media, conferences, and strategic partnerships
• Recruit, mentor, and help onboard future physicians as the practice grows

Founding Physician

Data Scientist

• Partner with Product & Engineering teams to analyze and optimize product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
• Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
• Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
• Translate ambiguous business questions into well-scoped analytical projects with clear success metrics and timelines.
• Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well-modeled datasets for marketing analytics.
• Clearly communicate findings and recommendations to non-technical stakeholders through presentations, dashboards, and written documentation.
• Contribute to shared analytics and modeling best practices within the data science team, including code quality, validation, and documentation.
• Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate.
• Stay current on industry trends and techniques in marketing analytics, experimentation, and applied data science, and apply them pragmatically to Hone’s context.

Senior Data Scientist, Product

Data Engineer

• Lead the architecture and implementation of a medallion lakehouse in Microsoft Fabric, establishing bronze, silver, and gold layers that power self-serve analytics across the organization.
• Design and build Claude projects and skills that allow marketing, product, and finance stakeholders to query and interpret data independently.
• Partner with organizational leaders to define, document, and maintain a canonical business lexicon and data context that inform the self-serve BI platform and ensure consistent interpretation across teams.
• Create and maintain robust data ingestion pipelines to ensure reliable, timely data flow from source systems into the lakehouse.
• Build data models and BI dashboards as needed to support marketing analytics, product analytics, and financial analytics for a subscription DTC business.
• Establish and enforce data governance protocols, including lineage, documentation, quality checks, and access controls.
• Mentor and develop a cross-functional team of data engineers, analytics engineers, and BI analysts, setting technical standards and guiding best practices.
• Collaborate with stakeholders across growth, product, finance, and clinical teams to translate business questions into scalable data solutions.

Data Architect

• Design, build, and maintain scalable data pipelines and ETL processes using Microsoft Fabric (Notebooks, Pipelines, Dataflows) to support analytics, reporting, and product use cases.
• Integrate data from multiple internal and external sources, ensuring quality, consistency, and reliability across the medallion architecture.
• Develop and maintain data models and transformations using dbt, contributing to bronze, silver, and gold layer modeling in the Fabric lakehouse.
• Collaborate with engineers, analysts, and product teams to translate business requirements into technical data solutions — communicating through Slack and tracking work in Azure DevOps (ADO).
• Participate in data quality checks, testing, validation, and performance optimization across pipeline and model layers.
• Monitor, optimize, and troubleshoot data infrastructure for performance and scalability in a cloud-native Azure environment.
• Follow engineering best practices around version control and CI/CD using GitHub, including branch management, pull requests, and code review.
• Contribute to data documentation and ensure best practices around data governance, reliability, and scalability.
• Contribute to the continuous improvement of data engineering processes and tools.

Data Engineering Intern, Fall 2026

• Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
• Create and maintain data ingestion pipelines to ensure efficient data flow and integration.
• Establish data governance protocols, ensuring compliance with industry standards and best practices.
• Implement data lineage and documentation to facilitate data traceability and transparency.
• Develop and enforce data quality checks to maintain the integrity and accuracy of data assets.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.

Contract Data Engineer

Medical Director

• Define and own Hone’s longevity medicine strategy, including our clinical protocols, therapeutic frameworks, and evidence standards
• Serve as the primary scientific voice for Hone’s approach to hormone optimization, metabolic health, gut health, immunity, cardiac care, and other longevity-focused therapeutic areas
• Stay at the forefront of longevity science and translate emerging research into actionable clinical insights and product improvements
• Oversee the development and continuous improvement of clinical protocols in partnership with Hone-affiliated medical practices
• Oversee the integration of clinical protocols into the 'Longevity Operating System,' which is Hone's proprietary AI tech to drive the clinical decisions to support Patient care
• Champion patient outcomes by establishing clinical quality benchmarks and driving continuous improvement across the care model
• Collaborate with Care Team leadership to ensure patient-facing interactions are grounded in empathy, accuracy, and clinical integrity
• Identify gaps in the patient journey that represent opportunities to improve health outcomes or patient satisfaction
• Serve as a member of Hone’s executive leadership team, contributing to company strategy, culture, and decision-making
• Serve as a thought leader and spokesperson for Hone externally, including media, conferences, and strategic partnerships
• Build and mentor a team of clinical and scientific advisors as the function scales
• Model Hone’s values and people-first culture in all interactions

Chief Medical, Longevity Officer

Cloud Engineer

• Define and own Hone’s multi-year cloud infrastructure strategy on Microsoft Azure, balancing reliability, security, cost, and engineering velocity
• Lead the architecture and delivery of the most complex infrastructure initiatives—including multi-region resilience, zero-trust networking, and platform-level developer tooling—from design through production
• Architect and provision cloud infrastructure using Pulumi (TypeScript/Python), establishing the patterns, modules, and guardrails that other engineers build on
• Design, build, and maintain robust CI/CD pipelines in Azure DevOps and GitHub Actions, setting the standard for automated build, test, deployment, and rollback workflows
• Define and enforce organization-wide infrastructure standards: tagging policies, cost governance, security baselines, environment parity, and capacity planning across all environments
• Drive GitOps maturity across the engineering organization, championing infrastructure-as-code, pull-request-based change management, and full audit trails
• Collaborate directly with Engineering, Product, and Security leadership to translate business requirements into infrastructure roadmaps and investment decisions
• Mentor and technically develop senior and mid-level engineers; conduct architecture reviews and raise the infrastructure engineering bar organization-wide
• Partner with security and compliance teams to design and maintain HIPAA-compliant cloud configurations, including network segmentation, key management, secrets handling, and audit controls
• Own disaster recovery strategy and business continuity planning, including infrastructure runbooks, chaos engineering programs, and failover testing at scale
• Drive operational excellence through observability tooling (Azure Monitor, Application Insights, Log Analytics) and establish SLO/SLA frameworks for critical services
• Evaluate and champion emerging cloud-native services and tooling, providing executive-level recommendations that shape Hone’s technical strategy
• Contribute to the broader engineering community through tech talks, documentation, code reviews, and cross-team collaboration

Staff Cloud Engineer

Recruitment

• Own full-cycle recruiting across a broad range of functions and role types - from kickoff through offer acceptance
• Partner closely with hiring managers to deeply understand team needs, role requirements, and hiring bar across a diverse set of disciplines
• Develop and execute proactive sourcing strategies to build strong pipelines of active and passive candidates across multiple channels (LinkedIn, GEM, job boards, professional networks, referrals, and beyond)
• Drive a structured, consistent interview process that reflects Hone’s values and sets candidates and hiring managers up for success
• Negotiate and extend offers in partnership with hiring managers and People Ops, working cross-functionally with legal and compensation stakeholders as needed
• Maintain clean, accurate data in Greenhouse - use it to track pipeline health, identify bottlenecks, and report on recruiting metrics
• Contribute to employer branding and candidate experience initiatives that help Hone stand out in the market
• Help build and refine our recruiting infrastructure as we scale - including process documentation, interview training, and intake frameworks
• Design, deploy, and improve AI-powered workflows across the recruiting lifecycle - including sourcing assistance, personalized outreach drafting, resume summarization, interview note consolidation, and scheduling automation
• Own and develop our integration between Claude and Greenhouse, building on existing groundwork to create a more robust, scalable system
• Train hiring managers on effective, legally compliant use of AI tools in hiring decisions