Advisor/senior Advisor Linker-payload, Antibody-drug Conjugate and Bioconjugation Engineering

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

This role focuses on the development and engineering of linker-payload (L-P) chemistry and bioconjugation processes for Antibody-Drug Conjugates (ADCs) and Antibody-Oligonucleotide/siRNA conjugates (AOCs) within a pharmaceutical R&D organization. It involves laboratory experimentation, process design, and collaboration with cross-functional teams to support drug development from early stages through manufacturing.

What you'd actually do

  1. Work in a team environment to drive and manage L-P, bioconjugation development in-house and at third-party partners for assigned portfolio assets and capability projects including collaboration with external academic researchers.
  2. Partner with colleagues in process development and analytical sciences to develop integrated process solutions that achieve quality by design and data driven decisions with robust control strategies.
  3. Be on the ground floor to contribute to developing the future engineering strategy to support clinical stage L-P and bioconjugation and enable registration stage.
  4. Create clearly organized development workplans, experimental procedures, data requirements and summaries.
  5. Author technical reports and CMC related documents including sections in regulatory submission documents (e.g., IND, IMPD, BLA).

Skills

Required

  • PhD in Chemical Engineering, Physical Chemistry, Chemistry, Biochemistry or related field
  • 0-5 years of experience in the pharmaceutical or biotech industry in developing Drug substance (small molecule or biologics) manufacturing process technologies.

Nice to have

  • Industrial or graduate research experience with L-P, ADCs / AOCs, and conjugation chemistry / engineering
  • Pharmaceutical development
  • Physical chemistry
  • Crystallization
  • Engineering
  • Kinetic and Process Modeling
  • Spectroscopy / PAT
  • Bioconjugation development
  • Purification
  • mechanistic thinking
  • modeling
  • data rich experimentation
  • continuous processing
  • automation solutions
  • advanced data mining
  • process modeling for optimization
  • heat and mass transfer
  • thermodynamics
  • crystallization kinetics
  • solid-liquid and liquid-liquid separations
  • drying
  • lyophilization
  • experimental design
  • mixing theory