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Lila Sciences

Director, Materials AISF Program Lead

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
76 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 Director, Materials AISF Program Lead at Lila Sciences is responsible for defining and executing the strategy for the Materials Science AISF program. This includes creating charters, budgets, and timelines, as well as leading cross-functional teams to expand capabilities in materials science through AI-driven approaches. The role requires collaboration with various departments to ensure alignment on complex platform priorities and successful program delivery.

Our read on this posting2.8out of 5
benefits
4/5
freshness
1/5
career value
5/5
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

  • PhD or equivalent experience in materials science, condensed matter physics, chemistry, or a closely related field, with industry research experience
  • Track record leading complex, multidisciplinary experimental programs
  • Familiarity with Materials Science AISF domains such as vacuum synthesis, characterization, electrochemistry, or nanoporous systems
  • Experience defining and managing technical roadmaps with real resource, budget, and timeline constraints
  • Strong written and verbal communication skills
  • Experience leading through influence across matrixed, cross-functional teams

Nice to have

  • Experience with automated or high-throughput experimental platforms, robotics, or lab automation
  • Familiarity with AI/ML-driven experimental design, Bayesian optimization, or closed-loop materials discovery
  • Exposure to atomistic simulation methods and their relationship to experimental programs
  • Experience in a fast-paced research environment such as a national lab, advanced materials startup, or deep-tech company
  • Experience working across shared resources and multiple concurrent programs

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 listed, but a range is provided
  • The role requires a high level of collaboration across various teams, which may involve navigating complex dynamics
  • The position is focused on a cutting-edge area of materials science and AI, which may offer significant career growth opportunities

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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