Scientific Data Engineer
Summary
Scientific Data Engineer building and maintaining data pipelines for biological sequence analysis, using Docker and cloud infrastructure to ingest and process lab instrument data.
- Collaborate with lab biologists on requirements
- Configure automated triggers for downstream processing
- Convert prototype pipelines into production ready systems
- Deploy pipelines using Docker
- Extend analytics data processing pipeline
- Ingest instrument data into cloud infrastructure
- Maintain sequence analysis pipeline
- Support data processing access and visualization
- Train colleagues on tools and pipelines
Perks/Benefits:
- Bank holidays
- Cycle to work scheme
- Flexible working
- Group Critical Illness
- Group income protection
- Onsite gym
- Paid time off
- Pension
- Private medical insurance