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Lila Sciences

Senior Engineer I/II, Drug Discovery Platform

Lila Sciences · Cambridge, MA 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 Research Engineer at Lila, you will work closely with scientists to develop and maintain infrastructure that supports drug discovery through machine learning and physics-based methods. Your responsibilities will include building a shared provenance system for scientific data, creating reusable Python libraries and APIs, and ensuring that research workflows are reproducible and scalable. You will also be involved in transitioning research prototypes into production-grade tools and implementing engineering best practices across various compute environments.

Our read on this posting2.6out of 5
benefits
4/5
freshness
1/5
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

  • Strong Python engineering skills with a track record of designing and shipping maintainable systems.
  • Experience with data modeling — schemas, metadata, identifiers, versioning for data that changes over time.
  • Experience designing APIs and building libraries that other engineers or scientists depend on.
  • Experience supporting research workflows (ML experiments, simulations, data pipelines) with a clear sense of what makes results reproducible.

Nice to have

  • Familiarity with chemistry, computational biophysics, molecular simulation, or drug discovery workflows.
  • Experience with experiment tracking / data lineage tools (MLflow, Weights & Biases, OpenLineage, DVC).
  • Experience with workflow orchestration (Flyte, Ray, Argo, Airflow, Temporal, Dagster).
  • Experience with Kubernetes, containers, and CI/CD at scale.
  • GPU computing experience, ideally at hundreds-to-thousands-of-GPU scale.

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 technologies or frameworks mentioned beyond general categories, which may require candidates to adapt quickly to new tools.
  • The role involves significant collaboration with scientists, which may require strong communication skills and the ability to translate technical concepts to non-technical stakeholders.

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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