Data Scientist

RVO Health

Fort Mill, SC, US
Base: $93,000 - $116,000; bonus/equity: not specif...
Hybrid (tuesdays, wednesdays, and thursdays in-office; remote on mondays and fridays)
Generative ai and llm application development
Clinical nlp and claims data extraction
Semantic search and rag architecture implementation
RVO Health is seeking a Data Scientist to enhance their healthcare platform using machine learning and AI solutions focused on consumer health behavior change. The role involves designing evaluation pipelines, applying NLP techniques, and collaborating with cross-functional teams, with a flexible remote work option available for those not near the office hubs

Job Summary

  • RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey to help people access the right information and care.
  • The role involves designing evaluation pipelines to measure AI output quality and applying NLP techniques to extract structured insights from clinical data.
  • Candidates will work on a fast-moving team where models directly influence real health outcomes for millions of users while moving rapidly from proof of concept to production.

Matching Summary

Match Score: 85

RVO Health is seeking a Data Scientist to enhance their healthcare platform using machine learning and AI solutions focused on consumer health behavior change. The role involves designing evaluation pipelines, applying NLP techniques, and collaborating with cross-functional teams, with a flexible remote work option available for those not near the office hubs.

Salary

Base: $93,000 - $116,000; Bonus/Equity: Not specified; Benefits: Comprehensive package including medical, dental, vision, 401(k) match, and paid parental leave

Skills & Requirements

Must-have

  • Generative AI and LLM application development
  • Clinical NLP and claims data extraction
  • Semantic search and RAG architecture implementation
  • AI evaluation pipeline design with human-in-the-loop
  • Behavioral modeling for health outcomes

Nice-to-have

  • Experience deploying models in production environments
  • Strong Python skills for end-to-end ownership
  • Ability to communicate technical tradeoffs to stakeholders
  • Hands-on experience with healthcare data sources
  • Fast iteration in ambiguous problem spaces

Key Requirements

  • Bachelor's or Master's in a quantitative field
  • Experience with deep learning frameworks like PyTorch or TensorFlow
  • Proven ability to move from research to production

Work Rights

Not specified

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