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.
