Data Scientist - Workflow Automation
Flatiron Health · NY office · US
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit35
Remote potential60
5-year outlook
Competitive for data science roles in health tech, with strong growth potential as AI adoption in healthcare expands. Exact figures depend on location and experience.
Clinical license
Not required
Applicant reach
broad
Seniority
junior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with data science or programming skills should consider this role to leverage clinical domain knowledge in a high-impact health tech setting. Most clinicians without technical background will find the requirements prohibitive.
Who should apply
Clinicians with data science, informatics, or software development experience, or those who have completed technical bootcamps and have 1-3 years of applied data science work.
CV angle
Highlight any data analysis, research, or informatics experience, and emphasize clinical domain knowledge as a unique asset for understanding oncology workflows. Frame clinical experience as evidence of problem-solving and stakeholder communication.
Skills to highlight
- Python
- JavaScript
- LLMs
- API integration
- Workflow automation
- Data transformation
- Problem-solving
- Stakeholder communication
Role summary
A data scientist role focused on building AI-powered workflow automations to improve operational efficiency in a cancer care technology company.
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