Senior Data Engineer, Bioinformatics, Cheminformatics, Materials
Lila Sciences · San Francisco, CA USA
Posted 15 days ago
or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Lila Sciences's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 89 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
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
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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