Staff Forward Deployed Engineer, Life Sciences

Lilasciences
Location
Cambridge, MA USA
Job Type
Full-time
Posted
September 2, 2026

Job Description

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.

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.

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 ourCandidate 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.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Cambridge, MA USA. The posting does not specify a remote, hybrid, or on-site work-mode policy, but it notes that office-based employees receive commuter benefits and requires willingness to travel to customer sites for engineering deployments.
What are the required qualifications and experience for this role?
You need a background in biology, molecular science, or a related scientific field, strong full-stack development skills, and experience with data engineering and ETL pipelines. You must also have excellent communication and problem-solving skills, a knack for product discovery, and a willingness to travel to customer sites.
What are the key responsibilities of a Staff Forward Deployed Engineer?
You will embed with biotech and science teams to develop, wrap, and adapt domain-specific tools. You will deploy custom agentic scientific workflows integrating with industrial instruments and data systems, build real-time data pipelines, and create intuitive interfaces that make complex AI/ML capabilities accessible to scientists.
What is the salary range for this position?
The expected base salary range for U.S.-based positions is $192,000 to $256,000 USD. Competitive base compensation also includes bonus potential and generous early-stage equity.
What benefits does the company offer?
U.S. benefits include medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off and holidays; paid parental leave; educational assistance; commuter benefits (including bike share memberships); and a subsidized lunch program. International employees receive comprehensive benefits tailored to their region.

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Job Information

Source: greenhouse
AI Relevance: 60/100 (Relevant)
Remote Type: onsite
Allowed Locations: Cambridge, MA USA
Skills & Tags:
Software

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