Data Scientist - Workflow Automation

About the Role

We’re looking for a Data Scientist to help us improve and extend lives by learning from the experience of every person with cancer. You’ll turn ambiguous business requests into reliable, production-grade automations and partner with teams across the company to identify automation opportunities, scope requirements, and build AI-powered workflows.

Responsibilities

• Partner with stakeholders across teams to intake automation requests, define requirements, and align on priorities.
• Design, build, test, and maintain automations (e.g., using n8n) that connect systems and automate processes across the organization.
• Write design documents that scope technical approaches, surface tradeoffs, and set expectations with partners.
• Write code for custom logic, data transformation, and API integrations.
• Monitor production workflows, troubleshoot failures, and build in error handling and alerting from the start.
• Document workflows so they can be understood, maintained, and extended by others.

Requirements

• 1-3 years of relevant working experience as an applied data scientist or similar technical data-oriented role.
• Prior experience with LLMs is required.
• Bachelor’s, master’s, and/or Ph.D. in computer science, data science, or a related field.
• Understanding of how AI systems are evaluated and ability to analyze an existing system to assess output quality, identify improvements, and communicate impact to stakeholders.
• Curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design.
• Collaboration with technical team members in a production development environment using formal version control, Python, or JavaScript.
• Experience working with data: parsing JSON, transforming payloads, connecting to databases or third-party services (e.g., via REST APIs).
• Impact-oriented mindset with a focus on creating real change for customers, users, and ultimately patients.
• Clear and confident communication skills to break down complex data analyses and tell a compelling story.

Nice to Have

• Familiarity with workflow automation platforms (n8n, Zapier, Make, Airflow).
• Deeper understanding of APIs (REST, webhooks, authentication patterns like OAuth and API keys).
• Background in consulting, data analysis, solutions engineering, data engineering, or a similar hybrid technical/product role.

Schedule

This is a hybrid role with a defined work location that includes work from home and 3 office days set by you and your team.

Benefits

• Work/life autonomy via flexible work hours and flexible paid time off.
• Comprehensive compensation package.
• 401(k) contribution to help you reach your retirement planning goals.
• Financial health resources including 1:1 financial advice.
• Mental well-being tools and services.
• Parental benefits and policies including family-building care and generous leave.
• Path to parenthood programs supporting fertility, adoption, and surrogacy.
• Travel support for safe healthcare services.
• Continuous learning and inclusion initiatives.

Pay

Salary range: $129,600 – $178,200 (based on the preferred primary location of the role). Base pay may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may also be provided as part of the compensation package.