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Lila Sciences

Staff Forward Deployed Engineer, Life Sciences

Cambridge, MA USA; San Francisco, CA USA; One Charles Park, Cambridge, MAUnited States
Staff · Software
POSTED 6 OCT 2025VERIFIED 16H AGO
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Role
402 days opentrue age
Past the 83d median close
Posted 6 Oct 2025 · n=12
Payats field
$192k–256kposted
▲ +9% vs market median $205k
$115k$256k
Market p25–p75
$185k–$250k
Lila Sciences p25–p75
$181k–$224kn=6
H-1B median · Software engineering
$115k
Boston · n=109 · 365d to 12 Nov
CompanyLila Sciences →
123open roles
Opened · 30d
+0
Closed · 30d
−2
12d of snapshots · 30d window
Market
9,411open · Staff Software engineering
Opened · 7d
+7318% of open
All software engineering
75,454open
All tracked boards · live 13 Nov · n=9,411
Visa
24H-1B LCAs · FY26
Median wage
$142k
LCAs FY26 · n=24 · to 2026-06-03
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Your Impact at LILA

We're seeking extraordinarily talented Forward Deployed Engineers to join our growing team. Our FDEs are high-performing generalists with a broad set of skills across scientific domains and software engineering, in addition to depth in one or more focus areas.

As an FDE, you'll embed directly within our internal and external customer facing biotech and science teams, living their problems and rapidly ideating, building, and deploying solutions that transform their capabilities across the Lila platform. You'll leverage our AI and software platform tools while developing custom features that address each customer's unique challenges. This isn't traditional software development—it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months.

What You'll Be Building

  • Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, 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 scientific data into actionable insights.
  • Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists.

What You'll Need to Succeed

  • Background in biology, molecular science, or related scientific field.
  • Ability to communicate effectively with external partners and internal product and technical leaders.
  • Experience with data engineering, ETL pipelines, and working with complex 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 an ability to pass well-defined customer requirements back to the product teams.
  • Willingness to travel to customer sites for engineering deployments.

Bonus Points For

  • 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)

What Makes a Great FDE

  • Customer Obsessed: You're energized by understanding customer problems deeply and seeing your solutions drive real impact.
  • Fast Learner: You quickly grasp new scientific domains and translate complex requirements into elegant solutions.
  • Autonomous: You thrive with minimal supervision and take extreme ownership of customer success.
  • Collaborative: You work seamlessly with both technical and non-technical stakeholders.
  • Technically Versatile: You're comfortable jumping between technologies and picking up new tools as needed.

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.

Expected Base Salary Range

$192,000—$256,000 USD

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.

Source · Lila SciencesFirst seen 2 NovOriginal ↗