Advisor - Car-t Therapeutics

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

This role focuses on the biological aspects of an in vivo CAR-T platform, involving molecule SAR, screening, and characterization. It integrates emerging technologies including AI tools for analysis and design, but the core function is biological research in drug discovery, not AI model development.

What you'd actually do

  1. Own the biological arm of the design–make–test cycle: generate, interpret, and translate screening data into actionable SAR insights that directly inform the next round of molecule design across CARs, mRNA constructs, and TNP/LNP formulations.
  2. Drive CAR screening activities, including in vitro functional assays, phenotypic characterization, and molecule down-selection to support therapeutic programs.
  3. Advance pipeline programs by integrating screening data with translational insights to enable clear and timely decision-making.
  4. Engineer and maintain target-expressing cell lines, reporter lines, and primary T cell assay platforms (co-culture, serial restimulation, multi-day killing kinetics) that bridge in vitro to in vivo.
  5. Characterize in vitro–generated CAR-T cells deeply: subset distribution, exhaustion, metabolic fitness, and the relationship between transient CAR expression kinetics and effector function.

Skills

Required

  • PhD or MS/Bachelors with 10+ years of industry experience in drug discovery or biotech environment.
  • Strong working knowledge of T cell and B cell biology: activation, differentiation, exhaustion, memory formation.
  • Experience in primary human immune cell isolation, culture, and functional assays (cytotoxicity, cytokine release, proliferation).

Nice to have

  • Proven ability to drive SAR across the full DMT cycle.
  • Fluency across biology and molecular design.
  • Expert‑level multiparameter flow cytometry.
  • Strong scientific judgment, rigor, and documentation.
  • Experience with CAR‑T biology, mRNA therapeutics, and nanoparticle delivery.
  • Cell line engineering and/or antibody engineering experience.
  • Familiarity with spectral flow, high‑content imaging, and transcriptomics.
  • Lab automation and data‑pipeline ownership experience.
  • Advanced data analysis in Python or R; comfort using AI tools for analysis and design.
  • Demonstrated scientific originality (publications, patents, or significant internal impact).
  • Cross‑functional collaboration

What the JD emphasized

  • hard biological questions
  • new science to answer
  • drive molecule SAR
  • biological arm of the design–make–test cycle
  • actionable SAR insights
  • advance pipeline programs
  • integrating screening data
  • translational insights
  • platform innovation initiatives
  • improve DMT cycle
  • screening throughput
  • assay design
  • predictive relevance
  • multiparameter flow cytometry panels
  • CAR screening
  • reporter-based functional assays
  • high-throughput CAR screening
  • Build the screening infrastructure
  • Characterize the biology deeply
  • Innovate and lead scientifically
  • novel hypotheses
  • Integrate emerging technologies
  • AI tools
  • automated gating
  • dimensionality reduction
  • ML-guided experimental design
  • Advanced data analysis
  • AI tools for analysis and design
  • Demonstrated scientific originality