Senior Data Engineer, Drug Discovery Data Engineering

Calicolabs

South San Francisco, CA, United States
Base: $217,000 - $229,000; bonus/equity: two annua...
Onsite (4 days per week)
High-performance data systems
Molecular databases integration
Inventory systems integration
Calico Labs is seeking a Senior Data Engineer to join their Drug Discovery Data Engineering group in South San Francisco. The ideal candidate will have extensive experience in software and data engineering within pharmaceutical R&D, with a strong focus on integrating complex data systems and collaborating across scientific teams

Job Summary

  • Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group.
  • You will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups.
  • As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Matching Summary

Match Score: 85

Calico Labs is seeking a Senior Data Engineer to join their Drug Discovery Data Engineering group in South San Francisco. The ideal candidate will have extensive experience in software and data engineering within pharmaceutical R&D, with a strong focus on integrating complex data systems and collaborating across scientific teams.

Salary

Base: $217,000 - $229,000; Bonus/Equity: two annual cash bonuses; Benefits: Not specified

Skills & Requirements

Must-have

  • high-performance data systems
  • molecular databases integration
  • inventory systems integration
  • electronic lab notebooks integration
  • internal data warehouse integration
  • AI platform integration
  • web applications for stakeholder review
  • Python software and data engineering
  • FastAPI, React, Kubernetes, Terraform
  • data governance policies enforcement

Nice-to-have

  • large-scale biological or chemical datasets
  • chemical and biological ontologies
  • managing external partnerships and vendors
  • system administration of informatics platforms

Key Requirements

  • 5+ years of professional software or data engineering experience
  • Proficiency in applying laboratory informatics systems
  • Fluency in Python
  • Developing and deploying cloud-based applications on Google Cloud Platform
  • Strong experience with modern web frameworks and infrastructure
  • Proven ability to lead complex projects
  • Experience enforcing robust data governance policies

Work Rights

Not specified

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