AI Engineer, Personalized Cancer Surveillance Platform

Bios Life; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Bios Life is seeking an AI Engineer in Boston to build machine learning infrastructure and models that convert complex biomedical data into actionable clinical insights. You will move research concepts from prototype to production, developing AI systems for cancer biomarker detection and personalized screening strategies.

You will report to the Head of AI and collaborate with clinicians, data scientists, product leaders, and software engineers in an in-person role based in our Boston office.

Qualifications

• MS/PhD in CS/ML or related field
• 3+ years hands-on experience building and deploying ML models in production
• Strong programming skills in Python
• Experience with PyTorch, TensorFlow, and JAX
• Cloud experience (AWS/GCP)
• Docker and containerized environments
• Git, testing, and CI/CD workflows
• Ability to communicate complex technical concepts clearly

Responsibilities

• Design, develop, and deploy ML models for cancer biomarker detection, risk stratification, and longitudinal monitoring
• Build scalable ML pipelines for data ingestion, feature engineering, training, and serving
• Develop production-ready AI systems and improve model reliability in healthcare contexts
• Collaborate with clinicians and data scientists to align AI capabilities with workflows
• Translate research into practical clinical applications and contribute to platform evolution
• Mentor and contribute to engineering culture as an early team member

Skills

Python

PyTorch

TensorFlow

JAX

Cloud platforms

CI/CD

Git

MLOps

Production ML

Data analysis

Education

MS/PhD in CS/ML

Tools

Docker

AWS

GCP

Job description

Bios Life is seeking an AI Engineer in Boston to build machine learning infrastructure and models that convert complex biomedical data into actionable clinical insights. You will move research concepts from prototype to production, developing AI systems for cancer biomarker detection and personalized screening strategies.

You will report to the Head of AI and collaborate with clinicians, data scientists, product leaders, and software engineers in an in-person role based in our Boston office.