HHiring Reality
← Lila Sciences

Senior Data Engineer, Bioinformatics, Cheminformatics, Materials

Lila Sciences
Location
San Francisco, CA USA
Posted
19 days ago
Department
Software
What they actually want (must-haves)
  • 2–6 years of experience in data engineering, bioinformatics, cheminformatics, or computational science
  • 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 translating noisy scientific measurements into accurate, validated datasets
Nice to have
  • Experience with columnar or lakehouse stacks such as Parquet, Iceberg, DuckDB, Polars, or Ibis
  • Familiarity with event-driven pipelines such as NATS or Kafka
  • Exposure to lab instrument data formats, LIMS, or ELN systems
  • Familiarity with life sciences assays, sequencing, imaging, or flow cytometry
  • Familiarity with materials or chemistry methods such as XRD, XRF, SEM, TGA, or DSC
What the job really is

As a Senior Data Engineer at Lila, you will focus on building ETL pipelines and data models for scientific data, collaborating with AI researchers and experimentalists. Your role involves transforming raw lab outputs into clean, validated datasets, creating reusable analysis functions, and improving data workflows for enhanced automation and observability.

Benefits
  • Competitive base compensation with bonus potential
  • Generous early-stage equity
  • Comprehensive benefits program including medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company-wide holidays
  • Paid parental leave
Things to weigh
  • No specific salary listed beyond the range of $144,000 to $240,000
  • The role involves a mix of data engineering and scientific data handling, which may require domain-specific knowledge
  • The company emphasizes a fast-paced startup environment, which may involve ambiguity and rapid changes
Job score3.4/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

Applying to Lila Sciences?

See how your résumé matches this role — and tailor it from what actually gets interviews.

Calculate resume scoreGenerate resume to apply
Job Link →