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Lila Sciences

Staff Engineer, Data Platform

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA

Posted about 3 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Lila Sciences's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
116 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
2026-10-22

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 Staff Engineer on the Data Platform team at Lila Sciences, you will lead the technical direction for core data infrastructure, focusing on ingestion frameworks, storage architecture, and orchestration patterns. Your role involves collaborating with scientists and engineers to build reliable data pipelines, establish engineering standards, and mentor team members, all while ensuring the data systems are designed for scalability and reliability.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
5/5
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

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 8+ years as a software or data engineer with a focus on building and operating data infrastructure
  • Experience designing and shipping data platform components including ingestion frameworks, storage abstractions, and orchestration systems
  • Fluency in Python and SQL with the ability to write production-quality code
  • Production experience with relational and NoSQL databases, schema design, query optimization, and operational concerns at scale
  • Experience working across structured, semi-structured, and unstructured data

Nice to have

  • Experience with workflow orchestration systems (Flyte, Airflow, Dagster, or similar)
  • Experience building data infrastructure that serves agentic and LLM-driven workflows, including vector databases and retrieval-optimized data access patterns
  • Background in scientific computing, life sciences, or research software
  • Proficiency with AI-assisted development tools (Cursor, Claude Code, or similar)

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 salary listed in the posting, but a range is provided ($192,000 - $288,000 USD)
  • The role requires a strong focus on data infrastructure, which may involve legacy systems depending on the current state of the platform
  • The company emphasizes a startup environment, which may imply a fast-paced and potentially high-pressure work culture

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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