Scientific Data Engineer
EC2A1AJ, London, England, United Kingdom
GBP 50K-55K (estimate) Mid-level Full Time
Tasks
- Build data pipelines for R and D
- Collaborate with lab biologists on data processing needs
- Configure automated triggers for processing
- Convert prototype pipelines to production using Docker
- Coordinate with external IT to secure company devices
- Ingest instrument data to cloud
- Manage sequence analysis pipeline
- Train colleagues on tools and pipelines
Perks/Benefits
- Bank holidays
- Coffee tea snacks
- Critical illness coverage
- Cycle to work scheme
- EMI share options
- Flexible core hours
- Flexible working
- Fresh fruit
- Income protection
- Onsite gym
- Paid holiday
- Pension employer contribution
- Private medical insurance
- Staff social activities
Skills/Tech-stack
Amazon Web Services | Automated testing | Cloud Orchestration | Cloud platform | Conda | Database Development | Dependency management | Docker | Environment dependency management | Git | Google Cloud | Google Cloud Platform | Machine Learning | Mamba | Next-Generation Sequencing | Nextflow | NumPy | Oxford Nanopore | Pandas | Python | SQL | SciPy | Snakemake | Web Services | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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