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Lila Sciences

Senior Software Engineer, Data

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

In this role, you will be a Senior Software Engineer on the Data Platform Team, focusing on building and supporting data systems that facilitate automated scientific analysis. Your work will involve designing APIs, managing database architectures, optimizing performance, and collaborating with cross-functional teams to integrate data pipelines into scientific workflows. You will leverage cloud technologies and modern DevOps practices to ensure high availability and scalability of systems.

Our read on this posting3.2out of 5
benefits
5/5
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
  • 5-8+ years of engineering experience building and deploying large-scale backend systems in production
  • Hands-on experience with AWS
  • Strong understanding of Kubernetes and containerization
  • Experience with infrastructure-as-code (Terraform, CloudFormation)
  • Experience with CI/CD pipelines (GitHub Actions)

Nice to have

  • Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch)
  • Exposure to laboratory software or analytics for life sciences, material sciences, or related fields
  • Experience with laboratory devices, robotics, or hardware

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 for international positions; USD salary ranges apply only to U.S.-based positions
  • The role requires collaboration with scientists and engineers, which may require strong communication skills
  • The technology stack includes a mix of modern and potentially legacy systems, depending on the specific tools used

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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