Data & AI Engineer
Core
Design and implement end-to-end data pipelines, data models, and machine learning workflows to support drug discovery and R&D efficiency in a biopharma setting.
Role type
Senior Data & AI Engineer (R&D)
Builds
Scalable cloud data pipelines, data warehouse solutions, and AI-ready data products for new drug discovery.
Domain
Biopharma / Life Sciences / Data Engineering & AI
Deliverable
production ML models
Required skills
SQL, data warehousing (Snowflake), ETL/ELT (IICS, dbt), Python, cloud platforms (AWS), orchestration (Airflow), CI/CD (GitHub Actions), Infrastructure as Code (Terraform), containerization (Docker, Kubernetes), observability (Datadog, Grafana)
Preferred skills
Healthcare industry experience, cloud certifications (AWS, Snowflake, IICS), GxP compliance knowledge
Technologies
Snowflake, IICS, dbt, AWS, Airflow, GitHub Actions, Terraform, Docker, Kubernetes, Openshift, Datadog, Grafana
Responsibilities
Design and implement end-to-end data pipelines ensuring scalability and reliability; Develop and optimize data models with a focus on query performance; Collaborate with cross-functional teams to translate business requirements into technical solutions; Ensure data quality, standardization, observability, and governance; Automate data ingestion processes and monitoring systems; Build and maintain ETL processes and machine learning workflows; Contribute to MLOps/AIOps practices including model deployment and monitoring; Provide technical guidance to team members regarding coding standards and best practices.
Seniority
Senior, hands-on IC
