Your Impact at LILA
You will be the human-factors voice for Robotics, working on the software that runs Lila's autonomous labs. Partnering with software engineers and researchers, you'll make its most demanding surfaces — simulation, research operations, orchestration, and SCADA-style monitoring — clear, safe, and trustworthy under pressure, directly shaping how fast the factory runs and how few mistakes it makes.
What You'll Be Building
- Lead usability research: run contextual inquiry, task analysis, and usability testing to ground UI decisions in real workflows.
- Design for high-stakes displays: shape information architecture and interaction patterns for high-density orchestration and SCADA-style monitoring where situational awareness is paramount.
- Prototype and validate: build Figma prototypes and testable flows for simulation, lab, and capacity-planning UIs, then iterate from evidence.
- Design human-in-the-loop workflows: define how operators supervise, intervene in, and trust automated and AI-driven processes.
- Partner with engineering: embed with the software engineers who build these UIs, translating research into specs, patterns, and design-system contributions.
- Champion accessibility: set and uphold accessibility and interaction standards as the platform grows.
What You'll Need to Succeed
- UX research depth: 4–8 years in UX research or human factors for complex operational, industrial, or scientific software — this is a research-first role.
- Operational-display design: high-density, high-stakes interfaces such as control rooms, monitoring dashboards, or data-heavy tooling.
- Core research methods: contextual inquiry, task analysis, and usability testing, turned into clear direction.
- Interaction & IA craft: strong information-architecture and interaction-design skills, with prototyping in Figma or equivalent.
- Human-in-the-loop & situational awareness: designing for operator supervision and error prevention.
- Cross-functional communication: partnering with engineers and domain experts and defending design decisions with evidence.
Bonus Points For
- Human factors in regulated, safety-critical domains: systems-engineering rigor and prior HF/UX work in aerospace, manufacturing, or healthcare/life sciences. Grounding in ISO 9241-210 (human-centred design) or WCAG 2.2 (accessibility) a plus.
- Scientific or lab context: laboratory, robotics, manufacturing, or other regulated/operational environments.
- SCADA & control systems: familiarity with control-room HMI design (ANSI/ISA-101), SCADA, or MES interfaces (you'll design the UI, not own the system).
- Quantitative methods: survey design, behavioral analytics, or other quantitative research alongside qualitative work.
- AI-driven interfaces: designing interfaces for AI-assisted or autonomous workflows.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a 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; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Lila Sciences Cambridge, Massachusetts, USA Office
Cambridge, MA, United States
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
