Natera's Patient Experience (PX) Data Science & Analytics team is looking to create intelligent, adaptive systems that reduce friction in patient journeys, improve operational efficiency, and enable personalized healthcare experiences by designing and deploying AI/ML solutions.
Requirements
- 5+ years of experience in Data Science/ML/GenAI, with demonstrated impact in healthcare, operations, or enterprise platforms.
- Advanced proficiency in Python (NumPy, pandas, scikit-learn, etc.).
- Deep experience in machine learning and statistical modeling (regression, classification, clustering, etc.).
- Hands-on experience with Generative AI / LLMs (e.g., OpenAI, LangChain, prompt tuning, embeddings).
- Knowledge of experimentation and causal inference, including A/B testing design and analysis.
- Proficiency in operationalizing models and collaborating with cross-functional teams.
- Experience with LLM evaluation frameworks, prompt engineering, and fine-tuning techniques.
Responsibilities
- Independently lead the development of machine learning models to support PX initiatives such as experience quality evaluation and personalized patient outreach.
- Design and build Generative AI (GenAI) solutions, including LLM-based assistants for operational efficiency, agent coaching and personalized patient support.
- Advance the LLM-powered QA engine to identify recurring pain points and service opportunities across channels.
- Translate business problems into scalable analytical/science solutions, partnering closely with PX stakeholders across the teams.
- Evaluate model performance, lead A/B testing and experimentation, and iterate on models to drive continuous improvement.
- Mentor and coach junior data scientists and analysts, providing guidance on technical execution, project prioritization, and best practices in AI/ML.
Other
- Excellent communication and storytelling skills, able to bridge technical insights with business value.
- Proven ability to mentor and uplift team members, fostering a culture of learning and innovation.
- Remote USA
