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Lila Sciences

Sr Principal/ Principal Software Engineer, Scientific System of Record

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

The Staff or Principal Software Engineer will lead the development of a next-generation AI-driven scientific platform, focusing on connecting scientific intent with laboratory execution and data analysis. Responsibilities include defining technical strategy, designing systems for scientific workflows, creating user interfaces and APIs, and establishing data architecture. The role involves collaboration with various teams to ensure the platform meets scientific and operational needs while mentoring engineers and driving architectural excellence.

Our read on this posting3.0out of 5
benefits
4/5
freshness
1/5
career value
5/5
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 related field
  • 8-15 years of engineering experience building and deploying large-scale systems in production
  • Strong expertise in either front-end or backend engineering
  • Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred
  • Deep experience designing scalable application architectures, APIs, domain models, schemas, indexes, data contracts, and distributed data systems
  • Strong experience with SQL and at least one of NoSQL, vector databases, graph databases, search systems, or data lakehouse architectures

Nice to have

  • Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster)
  • Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch)
  • Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows

What you get

  • Competitive base compensation with bonus potential and 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
  • Educational assistance program

Worth weighing

  • No specific salary figure mentioned beyond the range of $204,000 to $310,000 USD
  • The role involves a significant amount of collaboration across various teams, which may require strong interpersonal skills
  • The position emphasizes both technical leadership and mentoring, which may not suit all candidates
  • The job description indicates a focus on building systems that integrate advanced AI frameworks, which may involve working with cutting-edge but complex technologies

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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