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Senior / Principal Scientist, Cell Biology & Disease Modeling, Deep Science Lead

Cambridge, MA USA

Your Impact at Lila

The Principal Scientist, Disease Modeling & Deep Biology will serve as the scientific authority for building, selecting, and deploying human disease models that enable discovery, mechanistic insight, and therapeutic decision-making across RNA, enzyme, antibody, and emerging modalities.

This role is centered on disease modeling excellence, not any single technology. The successful candidate will bring breadth across biological systems and modalities, combined with deep hands-on expertise (>30% laboratory engagement) and the ability to lead projects and scientists from hypothesis through decision.

The Principal Scientist will define disease-relevant experimental strategies—choosing the right model systems (cell lines, primary cells, iPSC-derived systems, organoids, co-cultures, in vitro or ex vivo platforms), the right perturbation approaches, and the right readouts to connect mechanism, phenotype, and therapeutic potential. This individual will operate as a scientific integrator - bridging deep biology, delivery, imaging, sequencing, and developability considerations into coherent, decision-enabling programs.

What You'll Be Building

  • Lead the design and execution of disease-relevant human model systems, selecting the appropriate level of biological complexity (engineered cell lines, primary cells, co-cultures, organoids, or advanced tissue systems) based on scientific questions and program stage.
  • Define disease-relevant phenotypes, perturbation strategies, and decision criteria that connect mechanism to therapeutic hypotheses.
  • Maintain hands-on experimental leadership (>30% bench time) to de-risk biology, prototype new models, and establish technical standards.
  • Design and implement quantitative, discovery-grade assays, including functional, imaging-based, and safety-aware readouts that are scalable and decision-enabling.
  • Enable and evaluate multiple therapeutic modalities (RNA, enzyme, antibody/protein-based approaches), assessing potency, kinetics, durability, delivery, and functional rescue in disease-relevant contexts.
  • Exercise scientific judgment in the selection and application of imaging, sequencing, and molecular profiling technologies, partnering with computational teams to ensure data is analysis-ready and impactful.
  • Integrate perturbation, multi-omics, and phenotypic data to uncover disease drivers, mechanisms of action, and translational biomarkers.
  • Serve as scientific lead across programs, mentoring scientists, guiding experimental strategy, and clearly communicating complex biological insights to internal and external stakeholders.
  • Rapidly assess new disease areas or modalities, defining minimum viable datasets to de-risk programs and accelerate decision-making.

What You’ll Need to Succeed

  • PhD with 5-6+ years**, or MS with 8+ years, of industry experience as mandate in Cell Biology, Molecular Biology, Developmental Biology, Immunology, or a related discipline.
  • Extensive experience designing and executing human disease models that directly inform therapeutic discovery and program decisions.
  • Demonstrated breadth across therapeutic modalities, including RNA-based therapies, enzyme therapeutics, and protein/antibody approaches, with an understanding of modality-specific constraints and opportunities.
  • Strong hands-on experimental background, including cell-based assays, functional biology, and imaging-based readouts, with the ability to rapidly prototype and de-risk new biology.
  • Experience selecting and applying sequencing, profiling, and molecular characterization technologies appropriate to biological questions, stage, and decision context.
  • Familiarity with automation, high-throughput experimentation, or AI/ML-enabled analysis, including the ability to partner effectively with computational teams to design scalable, data-rich experiments.
  • Proven ability to lead projects and mentor scientists in fast-moving, multidisciplinary environments without losing experimental rigor.
  • Track record of translating complex, high-dimensional biological data into clear, actionable scientific and therapeutic decisions.
  • Willingness and demonstrated ability to remain actively engaged at the bench while providing senior-level scientific leadership.

Bonus Points For

  • Exposure to multiplexed and high-dimensional functional assays, with experience building deep, disease-relevant readouts across multiple therapeutic areas.
  • Familiarity with functional genomics, single-cell, perturbation-based, and multi-omics approaches, including an understanding of experimental design tradeoffs and downstream analytical implications.
  • Experience with advanced imaging modalities, including spatial biology, 3D systems, or high-content phenotypic screening, and the ability to translate complex image-based data into biological insight.

Candidates are not expected to have hands-on mastery of every modality or technology, but must demonstrate strong scientific judgment in selecting and integrating the right approaches.

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, 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.

Compensation

We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range

$148,000 - $208,000 USD

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