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HomeCompaniesLila SciencesResearch Associate, Protein Science, Cell-Free Expression

Research Associate, Protein Science, Cell-Free Expression

Lila Sciences · Cambridge, MA USA · Active · $72,000–$96,000 / year · Greenhouse

Job facts

FieldValue
CompanyLila Sciences
TitleResearch Associate, Protein Science, Cell-Free Expression
Normalized title-
Department / teamAutonomous Science Platform
LocationCambridge, MA, United States
Work model-
Employment type-
Salary$72,000–$96,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-02 / 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 Lila is seeking a dedicated and skilled Research Associate, Protein Sciences to join our high through-put Cell-Free Expression platform. As a Research Associate, you will play a vital role in our interdisciplinary research efforts focused on building and automating artificial intelligence-driven processes across a variety of valuable applications. What You'll Be Building Development and refinement of cell-free expression systems for efficient protein synthesis. Optimize conditions for high-yield and high-quality protein production Prepare media and solutions for cell culture and processing Perform molecular cloning, mutagenesis, and other genetic manipulation for strain development. Demonstrate proficiency in operating and utilizing liquid handlers and robotic systems for automated laboratory processes. Collaborate with biologists, machine learning scientists, software developers, and other engineers to develop and optimize AI-driven processes. Track and maintain excellent data records in formats amenable to computational workflows. Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders. What You’ll Need to Succeed A bachelor's or master's degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field. 1-3 years of laboratory experience Experience with cell culture techniques, including growth, maintenance, and transformation, across a variety of cell lines Familiarity with plate-based assays Excellent attention to detail, organization, and communication Bonus Points For Skilled in cloning, expression and optimization of protein Data analysis using relevant software (Python, R, or similar) Scripting for automation platforms 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 — $96,000 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 ID30fd504dd34708f01753a0664e7cf9b3f8706aa1
Org IDffee088c-1794-41ee-9ae7-d3e130389319
Source IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Board IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Providergreenhouse
Provider Job Key4219337009
TitleResearch Associate, Protein Science, Cell-Free Expression
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 — $96,000 USD About LILA Lila Sciences is building Scientific Superintell
Salary Min72,000
Salary Max96,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4219337009
Apply URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4219337009
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 At2026-05-02 19:46:33Z
Source Updated At2026-05-26 20:02:33Z
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
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Parsed Structured
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Extensions
{}
Native Structured
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