What you will do

• Provide hands-on technical direction to a team of data scientists, spanning data exploration, hypothesis generation, algorithm and model development, to design and execution of production ML pipelines
• Collaborate with medical experts, computational biologists, data scientists, and software engineers to generate medical insights from our data assets
• Lead and contribute to the development of algorithms and ML models all the way from design to production
• Actively collaborate with product managers and 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

🔨

• Become familiar with the data science team, the company’s development practices and datasets
• Review current technical approaches and identify opportunities for improving practices where needed
• Develop a near-term roadmap in collaboration with the design, product, and engineering teams

⚒️

• Shape alignment between the company’s business and product priorities and the data science roadmap
• Develop a framework for efficient translation of algorithms and models into production
• Collaboratively establish career development goals for team members

🏗️

• Define and track multiple work-streams spanning production support to new algorithm development
• Develop research partnerships with our clinical collaborators in support of  future product exploration and roadmap
• Partner with Codex management to design an organizational map for the data science team

…in 6 months

⚒️

• Shape alignment between the company’s business and product priorities and the data science roadmap
• Develop a framework for efficient translation of algorithms and models into production
• Collaboratively establish career development goals for team members</aside>

🏗️

• Define and track multiple work-streams spanning production support to new algorithm development
• Develop research partnerships with our clinical collaborators in support of  future product exploration and roadmap
• Partner with Codex management to design an organizational map for the data science team</aside>

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What the application process looks like

🤝

1. Apply: Introduce yourself and send us your resume at hello@codexhealth.com.
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!

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What we’d like you to bring to the table

🪑

• Masters or Ph.D. degree in a quantitative discipline (mathematics, statistics, computer science, engineering, economics, etc.); academic background in biology or computational biology is a strong bonus
• 7++ years of relevant industry experience as a data scientist with progressive leadership roles, with an ability to lead and mentor team members
• Expert-level knowledge in probabilistic frameworks, statistical learning, and Machine Learning
• Fluency in python and modern ML frameworks and their application to large data sets
• Knowledge of tools to productize data science solutions (replicability, reliability, model versioning, monitoring) and general concepts, including various machine learning approaches, data management, visualization, validation, and productivity tools
• Strong communication skills to present insights and summarizing complex data to diverse audiences
• Most of all - a growth mindset, highly collaborative nature, and a strong desire to learn

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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.

🍽️

• 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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