What you will do

• Being the technical leader for the data science team and relevant workstreams
• Collaborating with medical experts, computational biologists, data scientists, software engineers, designers, and product managers to find opportunities for product innovation 
• Provide thought leadership and expertise in advanced AI (LLMs, deep learning, causal inference) applications to business problems
• Rolling up your sleeves and working with the Data Science and Engineering teams to work on ambiguous problems as well as build high performing models
• Translating business objectives into data and analytics solutions and, generate business insights using appropriate data engineering and data science techniques
• Delivering agile solutions in a fast-paced environment 

What we'd like you to bring to the table

• MS or PhD (preferred) in a quantitative field, e.g., Statistics, Computer Science, Engineering. Academic background in biology or computational biology is a strong bonus

• 7+ years of industry experience building product components leveraging data and machine learning/AI. 
• Expert-level knowledge in probability, statistical learning, and ML. Understanding of AI advances especially as applicable to the healthcare context is highly desirable.

Bonus

• Experience building and leading Experimentation best practices and capabilities across multiple platforms, products, and customer touch points
• Experience with building product components in a cloud environment. 
• Previous experience in healthcare and understanding of the digital health ecosystem.

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What we bring to the table

In addition to a collaborative, open work environment, we offer competitive benefits and we have performance-based raises throughout the year.

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• Incentive Stock Options
• 401(k) with partial matching
• Health Insurance - medical, dental, and vision insurance
• HSA & FSA available
• Commuter Benefits
• Flexible, hybrid work environment
• Regular U.S. Holidays and Flexible PTO
• Office located in beautiful downtown Palo Alto.
• In-office lunches on Tuesdays & Thursdays
• Education - Codex strongly supports learning and enrichment. We will gladly cover the cost of books, online classes, and educational materials (to be discussed with your manager)

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