Location: Massachusetts, California, Colorado, or Remote (U.S.)

Employment Type: Full-time

Role Overview:

Join our AI team to build and deploy machine learning models that drive innovation in Life Sciences. You will work on applied AI/LLM solutions to improve research outcomes, clinical data processing, and real-world evidence platforms.

Key Responsibilities:

• Develop, train, and deploy ML models using Python, PyTorch, TensorFlow, and Scikit-learn.
• Implement scalable ML pipelines with cloud infrastructure (AWS, GCP) and container orchestration (Kubernetes, Docker).
• Collaborate with software engineers, data scientists, and domain experts to integrate ML solutions into applications.
• Participate in research-driven projects in genomics, diagnostics, or clinical analytics.
• Ensure models meet regulatory and quality standards in Life Sciences.

Required Qualifications:

• 3+ years of ML/AI experience in Python and ML frameworks.
• Experience with cloud computing and MLOps pipelines.
• Strong problem-solving skills and ability to work with cross-functional teams.

Preferred Qualifications:

• Experience in Life Sciences or healthcare data domains.
• Knowledge of LLMs, scientific computing, and AI applied to biology or clinical datasets.