Requirements
- Minimum of five years of direct experience in machine learning, data science, or applied artificial intelligence roles
- High level of skill in Python programming; practical knowledge of SQL and R
- Extensive background using machine learning frameworks including TensorFlow and PyTorch
- Demonstrated ability to develop and operate models within large-scale data processing pipelines using Apache Spark and PySpark
- Experience applying natural language processing methods such as text classification, named entity recognition, information extraction, and transformer architectures
- Working knowledge of cloud computing platforms, with a preference for Azure, and tools like Databricks, Delta Lake, and Kubernetes
- Proven collaboration with data engineering and MLOps teams in live production environments
- Ability to work autonomously in a remote, distributed team spanning multiple time zones
Nice to Have
- Prior experience in healthcare, life sciences, pharmaceuticals, or clinical research is strongly favored
Benefits
- Ample paid time off and scheduled company-wide wellness breaks
- Retirement planning options available
- Financial support for health-related expenses and charitable contributions
- Active and meaningful Business Resource Groups
- Adaptable working hours and the flexibility to work from any location
- Chance to collaborate with top biotech and life sciences organizations in a forward-thinking sector focused on advancing global healthcare
Team
Remote, distributed team operating across multiple time zones
