Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Lila Sciences2 months ago
Base Salary
$144k - $240k/yr
Responsibilities
- Design ETL pipelines that transform raw laboratory outputs into analysis-ready scientific datasets.
- Model heterogeneous data from biology, chemistry, and materials instruments.
- Build validation checks, schema-evolution gates, and data-quality workflows.
- Develop reusable analysis functions and data transformations for scientific and AI research.
- Improve automation and observability across instrument-to-result data flows.
- Build canonical datasets that scientists and AI researchers can trust.
- Use AI coding tools to accelerate pipeline development and team velocity.
Requirements
- 2–6 years of experience in data engineering, bioinformatics, cheminformatics, or computational science.
- Strong Python skills with 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.
- A data science foundation including statistics and pandas, NumPy, or similar tools.
- Experience translating noisy scientific measurements into accurate, validated datasets.
- Experience with workflow orchestration, ideally Flyte, Airflow, Prefect, Dagster, or Nextflow.
- Active use of AI coding tools in day-to-day engineering work.
- Bonus experience with Parquet, Iceberg, DuckDB, Polars, Ibis, NATS, or Kafka.
- Bonus familiarity with lab instrument data formats, LIMS, ELN systems, life sciences assays, sequencing, imaging, flow cytometry, or materials and chemistry methods.
- Bonus experience with curve fitting, peak detection, or unit and dimensional analysis.
Benefits
- Full-time U.S. employees receive medical, dental, and vision coverage.
- U.S. employees receive employer-paid life and disability insurance, flexible time off, generous company-wide holidays, paid parental leave, educational assistance, commuter benefits including bike-share memberships for office-based employees, and a company-subsidized lunch program.
- Full-time employees outside the U.S. receive regionally tailored benefits, with international salaries set to local market.
- The role offers bonus potential and early-stage equity in addition to base compensation.
Tech Stack
Categories
Data Engineering
About Lila Sciences
Lila Sciences builds an AI-driven research platform and autonomous lab systems for life science, chemistry, and materials R&D teams. Its products combine large AI models with robotic instruments to plan, run, and analyze experiments, integrating into customer-specific scientific workflows. The privately held company serves pharma, materials, and energy organizations and is venture-backed, including a Series A financing in 2025.