the Role

Data Scientist

Hybrid Remote
$122,500 - $175,000

About the Role

Codex is hiring at various levels, ranging from recent college graduates to highly experienced data scientists. Please reach out if you want to work on challenging problems that lead to better patient outcomes and transformative health care.

What you will do

  • Design and build statistical algorithms and machine learning models for a variety of healthcare applications
  • Carry out first-principles exploratory analysis of large data sets from our health system partners
  • Work with engineers and product managers to deploy algorithms and models into robust production models
  • Collaborate with designers to determine intuitive and elegant ways of surfacing algorithmic insights to end users
  • Gain insight and exposure to the healthcare industry, business of medicine, and patient care


  • Learn about the company’s development practices and datasets
  • Explore data from our customer facing health applications
  • Propose new algorithms to improve our customer facing applications


  • Work comfortably with datasets containing healthcare data for more than 6 million patients
  • Contribute to the research and development of predictive models
  • Ship your first project(s) into production

…in 6 months

  • Take on larger technology and product responsibilities.
  • Provide technical and analytical expertise to other members on the team.
  • Materially improve the company’s Data Science processes

What the application process looks like


1. Apply: Introduce yourself and send us your resume at [](
2. Screen: Our Head of Engineering will reach out to schedule a 50-minute virtual interview if it looks like a good fit. This first interview will be centered around sharing more about Codex as a company, the role, your interests + values, and pair programming on a technical question.
3. Team Interviews: After that initial screen, you may then have 2-3 virtual technical interviews with members of the team. The technical interview questions will include a mix of logical problem solving, pair programming, and system design.
However, we will share the type of questions with you in advance so you have an opportunity to prepare before these interviews - we feel this is more reflective of the “real-world” and focuses less on one’s ability to “think on their feet”.
4. Final Round: If all goes well, you’ll then have a chance to speak with the CEO and meet the team in person!

What we’d like you to bring to the table


  • MS or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, Operations Research, Mathematics, Physics, Economics, or other quantitative discipline
  • Strong demonstrated expertise in designing, building and deploying statistical algorithms and machine learning models
  • Expert knowledge of SQL and database operations.Experience with distributed processing methods and ETL systems. Familiarity with ML/AI workflows and lifecycle management (i.e. Kubeflow, Domino Data Lab, etc.) is a plus
  • Familiarity with the use of Python to work with large data sets within modern data science frameworks
  • Strong communication skills to present insights and summarizing complex data to diverse audiences. For new graduates, some level of work experience (including college internships) is strongly preferred
  • Most of all - a growth mindset, highly collaborative nature, and a strong desire to learn

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
  • 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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