Applied AI Engineer: Healthcare ML for Clinical Trials

Iterative Scopes; Massachusetts; Hybrid; USD 170.000 - 240.000; Vollzeit

Benefits dieser Stelle

Hybrid work environment

Comprehensive medical, dental, and VIs

Mental health support

Wellness and professional development

401(k) company match

Zusammenfassung

Iterative Health in Cambridge, MA and New York City is seeking an Applied AI Engineer to turn complex clinical data into real-world trial improvements.

You will build production ML systems, including LLM-powered features, and partner with product and engineering to ship impactful capabilities for sites and patients.

This hybrid role offers ownership and the chance to shape an early AI function within a growing team, empowering patients and advancing clinical research.

Qualifikationen

• 5+ years of experience in applied AI/ML, software/ML engineering, or data science.
• Experience with healthcare data, clinical research, or life sciences.
• Fluent in Python and SQL; proficient across data stack.
• Experience shipping production ML systems, including LLM-powered features.
• Strong communication and cross-functional collaboration.

Aufgaben

• Work with clinical, video, and trial data to extract meaningful signals.
• Build and ship ML models, LLM-powered systems, and agents.
• Translate data findings into shipped features with product and engineering teams.
• Stay current with AI/ML trends and assess applicability to our data.
• Define modeling scope, evaluation, and readiness for production.
• Shape the data-to-product pipeline and deployment strategy.
• Collaborate with teams to ensure rigorous engineering practices.
• Identify opportunities where data provides predictive advantages.

Kenntnisse

Python

SQL

Healthcare data

Production systems

LLM / prompt engineering

Communication

Jobbeschreibung

Iterative Health in Cambridge, MA and New York City is seeking an Applied AI Engineer to turn complex clinical data into real-world trial improvements.

You will build production ML systems, including LLM-powered features, and partner with product and engineering to ship impactful capabilities for sites and patients.

This hybrid role offers ownership and the chance to shape an early AI function within a growing team, empowering patients and advancing clinical research.