Senior Data Engineer, Bioinformatics, Cheminformatics, Materials

Lila Sciences
San Francisco, California, United States
Full Time
On Site
Mid
USD 144,000 – 240,000
Data & Analytics Science Rnd Non Medical

Posted 2 days ago

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Excellent 4.7

Job summary

The job involves building ETL pipelines and data models for scientific data in biology, chemistry, and materials science, transforming raw lab data into validated, analysis-ready datasets, supporting AI research, and ensuring data quality and automation.

Responsibilities

You will design and build ETL pipelines and data models to transform raw scientific instrument outputs into validated, analysis-ready datasets. Additionally, you will develop reusable analysis functions and data quality workflows to support AI researchers and experimentalists.

Qualifications

Bioinformatics Cheminformatics Computational science Data modeling Data validation ETL pipelines Python Scientific data SQL Workflow orchestration

Candidates must have 2–6 years of experience in data engineering or computational science with strong proficiency in Python and SQL. Experience with workflow orchestration tools and translating complex scientific measurements into structured data is essential.

English

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Employer-paid life insurance
  • Disability insurance
  • Flexible time off
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits
  • Subsidized lunch program
  • Equity

Company

Lila Sciences

Lila Sciences

linkedin
Technology, Information and Internet
Location
San Francisco, California, United States
Website
lila.ai

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Excellent 4.7
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