Data Scientist - Workflow Automation

Flatiron Health•New York, NY

4h•Hybrid

About The Position

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We’re looking for a Data Scientist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?

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.
A bachelors, masters, 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 understand the quality of its output, assess where improvements are needed, and communicate the impact of those improvements to stakeholders.
Curiosity and knowledge to investigate, discover, and evaluate new and emerging AI architecture and design.
Collaborated with other 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).
Clear and confident communicator who can break down complex data analyses to tell a compelling story.

Nice To Haves

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.

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.

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
Support for continuous learning
Inclusion and belonging in the workplace