The Principal Clinical Data Scientist - THV will drive measurable business and program impact by applying advanced analytics, machine learning, and generative AI to deliver high-value insights and data-driven recommendations. This role partners across diverse stakeholders to optimize decision-making, enhance model performance, and innovate with emerging AI capabilities-including large language models (LLMs) and AI-assisted development tools.
This is an on-site role based in our corporate headquarters in Irvine, CA. Selected candidate must reside in Local Region.You will make an impact by:- Design, build, test, and optimize advanced machine learning models-including NLP, deep learning, and large language models-to support strategic use cases and business outcomes.
- Develop and refine complex algorithms; evaluate model results; generate actionable recommendations; and communicate findings to both technical and non-technical audiences.
- Analyze, interpret, and report on complex data sets, algorithmic outcomes, and ML performance metrics.
- Cleanse, label, and validate both structured and unstructured data, ensuring accuracy, completeness, and model readiness.
- Experiment with new data sources and integrations to improve model performance and operational efficiency.
- Identify and implement analytics tools and platforms (Python, SQL, Power BI, etc.) to elevate the data science tech stack and accelerate productivity.
What you'll need (Required):- PhD in a related field (e.g., Computer Science, Engineering, Biostatistics, or a Scientific field), 2 years of previous experience
What else we look for (Preferred):- Experience with cloud services (e.g., AWS and Snowflake)
- Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.) such as Boosting Model and Decision Forests
- Experience with Large Language Model (LLM) and Natural Language Processing (NLP)
- Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
- Experience with Electronic Health Record
- Leverage generative AI tools (e.g., Github Copilot and Python LLM frameworks) to accelerate exploration, prototyping, and automation across data science workflows.
- Use AI-assisted coding tools (e.g., GitHub Copilot, SQL copilots, and generative Python assistants) to streamline development, documentation, and testing workflows.
- Author and maintain detailed design control documents, including algorithm requirements, validation plans, and risk assessment documentation.
- Support internal and external partners with analytics methodology, metrics, and reporting best practices.
- Work cross-functionally with engineering, product, clinical, commercial, and external partners to translate business needs into robust analytical solutions.
- Provide technical guidance and mentorship to peers and partner teams on ML, LLMs, and responsible AI practices.
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $126,000 to $178,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
