Demo

Senior Research Associate, Translational Biology

Lila Sciences
Cambridge, MA Full Time
POSTED ON 4/24/2026
AVAILABLE BEFORE 5/23/2026
Your Impact at LILA

We are seeking a motivated and detail-oriented Research Associate to join our translational biology team. In this role, you will work closely with team leadership to support the development and execution of in vitro and ex vivo assays aimed at evaluating lipid nanoparticle (LNP) delivery and therapeutic function. You will play a hands-on role in day-to-day experimental execution, data collection, and sample processing; contributing directly to LILA's high-throughput, data-rich discovery workflows at the intersection of biology, automation, and AI.

What You'll Be Building

  • Execute multiplex immunoassays (MSD, Luminex, ELLA) to support cytokine profiling, protein quantification, and immunogenicity assessments; assist in panel qualification, troubleshooting, and SOP development.
  • Assist with ELISA development, optimization, and validation across relevant formats (sandwich, competitive, bridging), including reagent sourcing, standard curve development, and assay documentation.
  • Perform multi-parameter flow cytometry to assess cell viability, uptake, immune activation, and marker expression; assist in panel design, instrument setup, data acquisition, and analysis in FlowJo or instrument software.
  • Process tissues from in vitro and in vivo studies, including homogenization, protein/RNA extraction, and lysate preparation for downstream analysis (ELISA, multiplex, qPCR).
  • Support sample collection, aliquoting, labeling, and storage per established protocols; maintain biorepository organization and sample tracking records.
  • Maintain primary and immortalized cell cultures; execute in vitro assays evaluating LNP and delivery system performance across readouts including IncuCyte, uptake, expression, knockdown, cytotoxicity, and innate immune activation.
  • Assist in high-throughput and plate-based screening experiments, including plate formatting, liquid handling, and data collection.
  • Maintain detailed laboratory notebooks and electronic records; contribute to data summaries and team meeting presentations.
  • Collaborate cross-functionally with biology, automation, and data teams; support inventory management and equipment maintenance scheduling.

What You’ll Need To Succeed

  • B.S. or M.S. in Biology, Biochemistry, Immunology, Biomedical Engineering, or a related life science field.
  • 2-5 years of hands-on laboratory experience; industry experience preferred.
  • Demonstrated hands-on experience with multiplex immunoassay platforms (MSD, Luminex, and/or ELLA).
  • Experience with ELISA development, optimization, and/or validation (sandwich, competitive, or bridging formats).
  • Proficiency in multi-parameter flow cytometry, including panel setup, sample staining, acquisition, and basic analysis.
  • Experience with tissue processing techniques including cell isolation, homogenization, lysis, and preparation for protein or nucleic acid analysis.
  • Experience with primary cell culture and immortalized cell lines (IncuCyte, PBMCs, macrophages, hepatocytes, or similar).
  • Strong organizational skills with meticulous attention to detail and commitment to data integrity.
  • Ability to manage multiple concurrent experiments and prioritize effectively in a fast-paced environment.

Bonus Points For

  • Familiarity with nucleic acid therapeutics, LNPs, or gene delivery systems.
  • Basic experience with qPCR or ddPCR for gene expression or biodistribution readouts.
  • Exposure to CRO sample coordination
  • Familiarity with data analysis tools (e.g., Excel, Graphpad Prism, FlowJo);
  • Experience contributing to assay SOP writing or protocol development.

CompensationWe 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: $80,000 USD - $102,000 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.

Salary : $80,000

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