Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
Develop and ship generative AI applications — moving rapidly from proof of concept to production
Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started. Preferred qualifications:
PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
Strong Python skills; experience deploying models in production environments
Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
Experience with vector databases, embeddings, or retrieval-augmented generation
Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
Demonstrated ability to move from research to production — not just notebooks
Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Pharmacy Benefits
Income Protection Plans
Pet Services Plans
Mental Health Support
Wellness Coaching
HSA- Health Savings Account
Commuter Benefits
Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world. RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Employment at RVO Health is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com. We do not provide visa sponsorship for this role at this time.
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