bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesLila SciencesAssociate / Engineer I, ResOps, Formulations and Characterization

Associate / Engineer I, ResOps, Formulations and Characterization

Lila Sciences · Cambridge, MA USA · Active · $72,000–$106,000 / year · Greenhouse

Job facts

FieldValue
CompanyLila Sciences
TitleAssociate / Engineer I, ResOps, Formulations and Characterization
Normalized title-
Department / teamAutonomous Science Platform
LocationCambridge, MA, United States
Work model-
Employment type-
Salary$72,000–$106,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-19 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Lila Sciences.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Cambridge.Open
Department jobsActive postings in Autonomous Science Platform.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLila Sciences
Sourcea1e67975-fd33-4f8d-940f-2dbc2480c450
ATS providerGreenhouse

Description

Your Impact at LILA We are seeking a motivated and detail-oriented Associate Engineer to join our high-throughput Research Operations team. In this role, you will focus on hands on material formulation preparation using characterization techniques relevant to rheology and mechanical properties You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company’s growth. This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment. What You'll Be Building Perform wet-lab materials synthesis and formulation of materials including coatings, solutions, and elastic materials Prepare reagents, solutions/electrolytes, samples, and consumables to ensure seamless continuation of experiments across shifts Conduct rheology of formulations, and mechanical testing such as tensile, peel, and shear tests Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts Record, organize, and maintain experimental data with high attention to detail Identify opportunities to improve efficiency and streamline processes across shift operations Flag unusual features or results for scientist review Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences What You'll Need to Succeed Bachelor’s degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience) Attention to detail and strong organizational skills >1 year of experience with bench top and wet lab environments in an industrial setting with high throughout performing: pipetting, chemical handling, solution and sample preparation Hands-on experience synthesizing and testing materials such as coatings, solutions, adhesives, paints, and elastic materials Experience working and disposing of acids and bases, synthesis in fume hoods, and handling powders Curiosity to learn new skills and techniques relevant to materials science Bonus Points For Additional familiarity with: mechanical testing (e.g., tensile and peel tests), rheology, polymer-based systems Experience working in high-throughput production environments with a focus on scalability, efficiency, and accuracy Basic engineering skills for troubleshooting synthesis tools such as centrifuges, pipettes, ovens, chemical handlers, glove box, and pumps Familiarity with automated workflows and techniques to operate and generate custom scripts Experience with characterization methods for analyzing morphology and chemical compositions 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 $72,000 — $106,000 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 our Candidate 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.

Full job record

Job ID7a2611486db548e34993863ca2cce1cec0a69cfd
Org IDffee088c-1794-41ee-9ae7-d3e130389319
Source IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Board IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Providergreenhouse
Provider Job Key4246304009
TitleAssociate / Engineer I, ResOps, Formulations and Characterization
Normalized Title
Statusactive
Activeyes
Location TextCambridge, MA USA
DepartmentAutonomous Science Platform
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionMA
CityCambridge
Salary RawSalary Range $72,000 — $106,000 USD About LILA Lila Sciences is building Scientific Superintel
Salary Min72,000
Salary Max106,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4246304009
Apply URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4246304009
First Seen At2026-05-29 23:01:25Z
Last Seen At2026-06-06 07:34:08Z
Last Checked At2026-06-06 07:34:08Z
Last Changed At2026-05-29 23:01:25Z
Inactive At
Source Posted At2026-05-19 14:28:52Z
Source Updated At2026-05-19 14:28:52Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=lilasciences/date=2026-06-06/2026-06-06T07-34-07-839Z-8910748710b03f2325a47d95b68801d1b5e36c899ac6edbc67e980d6caead799.json
Event Fields
{
  "content_hash": "120b3bc7f110387b7f958949c3034492bc7513ebe0000be52780c6d762abe0c4",
  "source_hash": "2ca096122dad97c0e36d8d046ee0877d7a3297dc83a6425a823b2d0d04101aba",
  "last_changed_at": "2026-05-29T23:01:25.475Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Cambridge, MA USA",
    "city": "Cambridge",
    "region": "MA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": 106000,
  "salary_min": 72000,
  "inferred_at": "2026-06-06T07:34:08.107Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Cambridge, MA USA",
      "city": "Cambridge",
      "region": "MA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Associate / Engineer I, ResOps, Formulations and Characterization",
  "offices": [
    {
      "id": 4019809009,
      "name": "Alewife, Cambridge, MA",
      "location": null,
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Cambridge, MA USA"
  },
  "metadata": [
    {
      "id": 4340245009,
      "name": "Confidential?",
      "value": false,
      "value_type": "yes_no"
    }
  ],
  "updated_at": "2026-05-19T10:28:52-04:00",
  "departments": [
    {
      "id": 4013362009,
      "name": "Autonomous Science Platform",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Lila Sciences",
  "requisition_id": 4143842009,
  "first_published": "2026-05-19T10:28:52-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/7a2611486db548e34993863ca2cce1cec0a69cfd?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/ffee088c-1794-41ee-9ae7-d3e130389319JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/a1e67975-fd33-4f8d-940f-2dbc2480c450JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/7a2611486db548e34993863ca2cce1cec0a69cfd/eventsJSON