Principal AI Scientist

Codex Health, Inc; Palo Alto (CA); Presencial; USD 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock options

401(k) with partial matching

Health Insurance

HSA & FSA available

Hybrid work environment

Holidays & PTO

Office in Palo Alto

Resumo da oferta

Codex Health, Inc. seeks a technical leader for the data science team to drive advanced AI initiatives in healthcare.

You will collaborate with clinicians, engineers, and product managers to translate business goals into analytics solutions and build high-performing models in a fast-paced environment. Ideal candidates hold an MS or PhD in a quantitative field and have 7+ years of industry experience with ML, probability, and statistical learning.

Qualificações

• MS or PhD in statistics, CS, or engineering preferred.
• 7+ years of industry experience building data-driven product components.
• Expert-level knowledge in probability, statistical learning and ML.

Responsabilidades

• Lead the data science team and drive key workstreams.
• Collaborate with medical experts, engineers, and PMs to shape product ideas.
• Apply advanced AI (LLMs, deep learning, causal inference) to business problems.
• Build high-performing models with DS/engineering teams.
• Translate business goals into analytics solutions and insights.
• Deliver agile, impactful solutions in a fast-paced environment.

Conhecimentos

ML expertise

Statistical learning

Healthcare AI

Leadership

Formação académica

MS/PhD in quantitative field

Ferramentas

Cloud environment

Descrição da oferta de emprego

Codex Health is a highly mission-driven startup building modern and intuitive AI-driven software products for healthcare providers and patients. We’re committed to working on challenging problems that lead to better patient outcomes and transformative health care, and are working closely with major health systems and partners. Codex is backed by Samsara BioCapital.

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.

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.

• Incentive Stock Options
• 401(k) with partial matching
• Health Insurance — medical, dental, and vision insurance
• HSA & FSA available
• 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)