---
title: 'Engineer I, Research Operations (2nd Shift) at Lila Sciences'
canonical: 'https://feeny.ai/job/engineer-i-research-operations-2nd-shift-lila-sciences-cambridge-8ete74c2jp45'
type: 'job'
last_seen: '2026-09-11'
---

# Engineer I, Research Operations (2nd Shift) at Lila Sciences

- **Company:** Lila Sciences
- **Location:** Cambridge, MA
- **Compensation:** $76k–$101k
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/lilasciences/jobs/4386306009

## Job description

## Your Impact at LILA

Lila Sciences’ Research Operations team executes the automated laboratory workflows that power our scientific platform. We are seeking a motivated and detail-oriented Engineer I to join our high-throughput Research Operations team in an on-site, second-shift role with working hours of 2:00 PM to 10:00 PM.

In this role, you will operate integrated laboratory automation, prepare materials, monitor active workflows, troubleshoot issues, and help ensure reliable execution across the shift. You will apply your prior laboratory experience while collaborating with scientists and engineers across life sciences and physical sciences to support diverse research programs. This role is well suited to a candidate with a strong laboratory foundation who is ready to deepen their expertise in high-throughput automation, engineering principles, and science operations.

## What You'll Be Building

- Execute high-throughput automated and manual laboratory workflows using integrated workcells and liquid-handling platforms, such as Hamilton, Lynx, Echo, or similar systems.
- Prepare, organize, and verify reagents, samples, labware, and consumables required for workflow execution.
- Follow standard operating procedures, work instructions, and safety requirements to support accurate, reproducible, and timely results.
- Monitor workflows in real time, identify equipment or process issues, perform first-line troubleshooting and recovery, and escalate complex issues when necessary.
- Perform routine equipment checks, cleaning, maintenance, and readiness activities to support reliable operation of automated systems.
- Review quality-control outputs and accurately record experimental, equipment, and process data to maintain data integrity and sample traceability.
- Provide clear end-of-shift handoffs and partner with scientists, automation engineers, and operational teams to communicate workflow status, open issues, and follow-up actions.
- Contribute to continuous improvement and cross-training efforts that strengthen workflow efficiency, robustness, scalability, and operational coverage.

## What You'll Need to Succeed

- Bachelor’s degree in Biology, Biotechnology, Biochemistry, Molecular Biology, Bioengineering, or a related scientific or engineering field, or an equivalent combination of education and relevant laboratory experience.
- Minimum 3 years of relevant Co-Op and industry laboratory experience.
- Hands-on laboratory experience performing core techniques, including pipetting, reagent preparation, and aseptic technique, within Molecular Biology, Microbiology, Biotechnology, Protein Science, or a related field.
- Strong attention to detail and demonstrated ability to follow standard operating procedures and technical instructions while maintaining accurate, complete, and traceable documentation.
- Strong analytical and problem-solving skills, including the ability to recognize unexpected results or workflow behavior, perform initial troubleshooting, and escalate issues appropriately.
- Demonstrated ability to organize work, manage multiple priorities, and execute reliably in a fast-paced, high-throughput laboratory environment.
- Strong communication and collaboration skills, with the ability to provide clear status updates and work effectively across teams.
- Ability to work on-site during the scheduled second shift from 2:00 PM to 10:00 PM.

Bonus Points For

- Experience operating automated liquid handlers or integrated laboratory workcells, such as Hamilton, Lynx, Echo, or similar platforms.
- Experience working in a high-throughput or production-oriented laboratory environment with an emphasis on quality, efficiency, scalability, and operational continuity.
- Experience reviewing and interpreting quality-control data generated by automated laboratory workflows.
- Familiarity with laboratory information management, sample-tracking, or workflow-scheduling systems.
- Experience troubleshooting laboratory automation, performing routine equipment maintenance, or contributing to process improvements.
- Experience with protein purification or characterization techniques, such as bead-based purification, CE-SDS, colorimetric assays, or biolayer interferometry.
- Hands-on experience with cell culture, DNA or RNA workflows, or lipid nanoparticle formulation and handling.

## 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 $75,600—$100,800 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 our [Candidate Privacy Policy](https://www.lila.ai/candidate-privacy-policy-notice).

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.

## About Lila Sciences

## Company Overview
- **One-liner**: Lila Sciences is building the world’s first Scientific Superintelligence platform and autonomous lab, using AI to autonomously generate hypotheses, design and run experiments, and learn from results in real time across life sciences, chemistry, materials, energy, and defense.
- **Entity Type**: Private (Privately Held) – Series A, Seed, and Grant funding rounds
- **Headquarters**: Cambridge, Massachusetts, United States
- **Founded**: Not publicly available (first funding round was Seed in March 2025)
- **Founders**: Not publicly available (founded within Flagship Pioneering’s ecosystem)

## Core Business
- **Primary industry**: AI-powered scientific discovery and autonomous laboratory platforms
- **Target customers**: B2B – research organizations, biotech, pharmaceutical, energy, materials, aerospace, and defense companies
- **Mission**: “Scientific Superintelligence to solve humankind’s greatest challenges” – accelerating discovery across medicine, materials, energy, and defense

## Products & Services
- **LILA Platform (Scientific Superintelligence)**: An AI model and operating system that autonomously executes the entire scientific method – generating hypotheses, designing experiments, running them in physical labs, and learning from results in real time.
- **AI Science Factory™ Instruments**: Proprietary hardware and robotics that serve as the “body” of the platform, enabling automated experimentation at scale.
- **Domain-specific applications**: Tailored solutions for biotech (drug discovery, protein engineering), therapeutics (mRNA, antibodies, cell therapies), energy & environment (clean fuels, catalysis, critical minerals), advanced materials, chemicals, aerospace & defense, and oil & gas.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding – USD $550.7M (as of LinkedIn data)
  - Seed Round (March 2025): $200M led by Flagship Pioneering
  - Series A (September 2025): $235M led by Braidwell and Collective Global Management
  - Series A (November 2025): $115M led by NVentures (NVIDIA)
  - Grant (January 2026): $671,400 led by ARIA
- **Notable Investors/Partners**: Flagship Pioneering, NVIDIA (NVentures), Braidwell, Collective Global Management, ARIA
- **Growth Signals**: Named #25 on the 2026 CNBC Disruptor 50 List; headcount of 308 employees (monthly growth +10.6%); 122 active job postings; operates in 6 countries (US, UK, Canada, Poland, Spain, Germany)

## Competitive Advantages
- **Proprietary AI model** that consistently outperforms other models across scientific domains in complex analysis and reasoning.
- **Autonomous physical labs** that close the loop between AI hypothesis generation and real-world experimentation.
- **“Team of Teams” operating model** enabling startup speed at scale while maintaining radical transparency and high trust.
- **General platform approach** (inspired by Rich Sutton’s “Bitter Lesson”) rather than narrow domain-specific tools, allowing broad applicability.

## Strategic Focus
- Accelerating discovery across medicine, materials, energy, and defense
- Scaling the autonomous science platform to more industries and use cases
- Building “Scientific Superintelligence” that can tackle humanity’s greatest challenges
- Continued investment in AI research, robotics, and lab automation

## Why Work Here
- **Culture**: Emphasizes velocity, trust, curiosity, truth, and grit. “Think freely, prove precisely.” A high-trust, mission-driven environment where scientists and engineers work side by side.
- **Remote/Hybrid/Office**: Roles are listed in Cambridge, MA; San Francisco, CA; and London, UK. Physical lab presence suggests significant on-site work, but some roles may offer flexibility. Policy not explicitly stated.
- **Notable perks/engineering culture**: Opportunity to work at the frontier of AI and scientific discovery; collaboration with world-renowned experts; access to cutting-edge robotics and AI infrastructure; strong emphasis on learning and teaching (“generous teachers and eager learners”).

## Sources
1. [lila.ai](https://www.lila.ai/)
2. [lila.ai/about](https://www.lila.ai/about)
3. [lila.ai/open-roles](https://www.lila.ai/open-roles)
4. [LinkedIn - Lila Sciences](https://www.linkedin.com/company/lila-sciences)
5. [Greenhouse Job Board](https://job-boards.greenhouse.io/lilasciences/jobs/4246302009)

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