Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Lila Sciences · San Francisco, CA USA · All 82 Lila Sciences jobs
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Typical pay for this role in San Francisco
The median advertised range for a data engineer in San Francisco is $179,500 to $213,200, from 50 adverts that state a yearly pay. This job, at $144,000 to $240,000, sits inside that range.
Median of the advertised lower and upper figures, not a promise of what is paid.
Required skills
- Python
- SQL
- PostgreSQL
- Etl
- Data Science
- Statistics
- pandas
- Numpy
Nice to have
- Biology
- Chemistry
- Data Modelling
- Observability
- Airflow
- Kafka
- Recruitment
About the job
Your Impact at LILA Lila’s mission is to accelerate scientific discovery with AI, and that depends on trustworthy scientific data. As a Data Engineer, you’ll build ETL pipelines and data models for Lila’s scientific data platform, working at the intersection of data engineering, computational biology, chemistry, and materials science. You’ll partner with AI researchers and experimentalists to turn raw lab instrument outputs into validated, analysis-ready datasets.
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Source: Lila Sciences's careers site
Adverts belong to the employers' own sites.