Related skills
nlp r sql python tensorflow📋 Description
- Design, develop, and deploy ML models to extract insights from clinical data (NLP).
- Build and optimize ML pipelines on large-scale Spark-based systems.
- Work with structured and unstructured data to develop predictive models.
- Collaborate with data engineers to integrate ML into production ETL pipelines.
- Partner with MLOps to operationalize models (monitoring, retraining, versioning).
- Evaluate model performance and present findings to technical and business stakeholders.
🎯 Requirements
- 5+ years hands-on experience in ML, data science, or applied AI roles.
- Strong Python; working knowledge of SQL and R.
- TensorFlow and PyTorch experience.
- Large-scale data pipelines with Apache Spark (PySpark).
- NLP techniques: text classification, NER, information extraction.
- Cloud platforms (Azure preferred) and tools like Databricks, Delta Lake, Kubernetes.
🎁 Benefits
- Generous paid time off and wellness holidays
- Retirement options
- Health and charitable donation stipends
- Impactful Business Resource Groups
- Flexible work hours and work-from-anywhere
- Work with leading biotech and life sciences to improve global healthcare
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