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.

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