Forward Deployed Engineer, Physical Sciences (Level Flexible) jobs in United States
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Lila Sciences · 2 weeks ago

Forward Deployed Engineer, Physical Sciences (Level Flexible)

positionCambridge, MA
timeFull-time
remoteHybrid
seniorityMid, Senior Level, Lead/Staff

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. The Forward Deployed Engineer in Physical Sciences will work closely with biotech and materials science teams to develop solutions that enhance research capabilities using AI and software tools.

Artificial Intelligence (AI)Foundational AILife ScienceSoftware
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H1B Sponsor Likelynote

Responsibilities

Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, molecular modeling, and more
Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)
Building real-time data pipelines that transform messy scientific data into actionable insights
Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists
Architecting solutions that scale from proof-of-concept to enterprise-wide deployment

Qualification

Chemistry expertiseMaterials science expertiseData engineeringFull-stack developmentScientific computing librariesML/AI implementationControls engineeringProduct discoveryFast learnerTechnically versatileOutstanding communicationProblem-solving abilitiesCollaborative mindset

Required

Domain expertise in chemistry, materials science, or related field
Outstanding communication skills—you'll interface directly with both executives and the manufacturing line
Experience with data engineering, ETL pipelines, and working with complex/messy datasets
Strong full-stack development skills with the ability to work across backend, frontend, and data layers
Exceptional problem-solving abilities and comfort with ambiguous requirements
Knack for product discovery and ability to pass requirements back to the platform
Willingness to travel to customer sites for frequent and extended deployments

Preferred

Previous customer-facing or consulting experience
Depth in controls engineering and machine learning
Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)
Familiarity with ML/AI implementation and deployment
Familiarity with modern web technologies (TypeScript, React)

Company

Lila Sciences

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Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.
dateFounded in 2023
location
Cambridge, Massachusetts, USA
people-size201-500 employees
web-link
https://www.lila.ai

H1B Sponsorship

Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)

Funding

Current Stage
Growth Stage
Total Funding
$550M
Key Investors
NVenturesFlagship Pioneering
2025-10-14Series A· $115M
2025-09-14Series A· $235M
2025-03-10Seed· $200M

Recent News

Axios
2025's AI-fueled scientific breakthroughs
2026-01-03
masslive
Here’s what happened to Mass. startup investing in 2025
2025-12-17
MIT Technology Review
AI materials discovery now needs to move into the real world
2025-12-15
Company data provided by crunchbase