Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 192,000 - 256,000 annuallyFunction: Software EngineeringSkills: ["Communication","Problem-solving","Autonomy","Collaboration","Fast learner"]

Forward Deployed Engineer embedded with biotech and materials science teams to build AI-driven scientific tooling. You’ll develop domain-specific data tools, deploy expert workflows with industrial instruments, and scale solutions from proof-of-concept to enterprise deployments while communicating with executives and manufacturing staff in fast-paced, high-impact projects.

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Lila Sciences
Lila Sciences
11 months ago

Staff Forward Deployed Engineer, Physical Sciences (Level Flexible)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 58 minutes agoStatus: Live

Job Summary

Forward Deployed Engineer embedded with biotech and materials science teams to build AI-driven scientific tooling. You’ll develop domain-specific data tools, deploy expert workflows with industrial instruments, and scale solutions from proof-of-concept to enterprise deployments while communicating with executives and manufacturing staff in fast-paced, high-impact projects.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop, wrap, and adapt domain-specific tools for data analysis, process optimization, molecular modeling, and more
  • •Deploy custom, agentic scientific workflows that integrate with industrial instruments and data systems
  • •Build real-time data pipelines that transform messy scientific data into actionable insights
  • •Create intuitive interfaces that make complex AI/ML capabilities accessible to scientists
  • •Architect solutions that scale from proof-of-concept to enterprise-wide deployment
Travel: High travel

Pay and Benefits

Salary: USD 192,000 - 256,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •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
Experience:ChemistryMaterials scienceIndustrial manufacturingAI/MLData engineering
Skills:CommunicationProblem-solvingAutonomyCollaborationFast learner
Languages:English
Tech Stack:NumPyPandasSciPyRDKitTypeScriptReactETLPLCsERPMESSCADA

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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