Lila Sciences
Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
$144K–$240K
San Francisco, CA USA +1 · Senior · Full-time · Posted Sep 1, 2026
- Location
- San Francisco, CA USA
San Francisco, CA - Experience
- 2–6 years in data engineering, bioinformatics, cheminformatics, or computational science.
About the job
Build data pipelines and models that transform raw laboratory outputs into validated, analysis-ready scientific datasets for scientists and AI researchers.
What you'll do
- Design ETL pipelines, data models, validation checks, and data quality workflows for heterogeneous scientific data.
- Develop reusable analysis functions and canonical datasets, and improve automation and observability across instrument-to-result workflows.
- Use AI coding tools to accelerate pipeline development and team velocity.
What they ask for
- Strong Python skills, including typed, tested, production-quality code.
- Strong SQL skills, especially with Postgres or similar relational databases.
- Experience building ETL pipelines, data models, and reusable data transformations.
- Data science foundation, including statistics and pandas, NumPy, or similar tools; experience validating noisy scientific measurements; workflow orchestration experience; and active use of AI coding tools.
Nice to have
- Workflow orchestration with Flyte, Airflow, Prefect, Dagster, or Nextflow.
- Experience with columnar or lakehouse stacks, event-driven pipelines, lab data systems, scientific assays, or materials and chemistry methods.
Pay
$144,000 — $240,000 USD (base salary)
Tools
Python, SQL, Postgres, pandas, NumPy, Flyte, Airflow, Prefect
AI focus
Use AI coding tools in day-to-day engineering and develop datasets and reusable analysis functions for AI research workflows.
Model-written summary · the original posting is authoritative