In Vivo Biologist-immunology

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

Research scientist role focused on developing and utilizing in vivo models to understand immunological mechanisms for drug discovery in autoimmune diseases. Responsibilities include leading research studies, hands-on laboratory work, data analysis, and mentoring junior scientists.

What you'd actually do

  1. Provide strong scientific and technical leadership to establish and innovate in in vivo models to interrogate mechanisms and pathways relevant to the discovery of novel treatments for autoimmune diseases and related pathologies.
  2. Be hands-on in the laboratory to leverage and develop in vivo and in vitro systems to generate critical data supporting new and existing programs.
  3. Function independently, work within a team-oriented lab environment and communicate results to cross functional discipline teams.
  4. Provide supervision and mentoring to 1-2 scientists, performance evaluations, and career development.
  5. Requirement for accurate record keeping, independent data analysis, and reporting of data in written and oral formats.

Skills

Required

  • Ph.D. in related field physiology, immunology, biology, pharmacology, or a closely related field
  • Strong/extensive in vivo capabilities
  • Master's with 8+ years of experience

Nice to have

  • Experience working with humanized mouse models such as the NSG.
  • Experience of chronic non resolving fibrosis models
  • Understanding of in vivo models related to immune aging in aged mice
  • Proficient in cell isolation, cell culture, and immune cell differentiation procedures
  • Knowledgeable with ex vivo sample assays and analyses (e.g. ELISA, RNA isolation, Nanostring)
  • Familiarity with FACS and immunophenotyping
  • Ability to prioritize activities across multiple projects independently and effectively while demonstrating initiative and appropriate risk taking.
  • Excellent communication and organizational skills

What the JD emphasized

  • Strong experience with, in vivo assay development and implementation, and interpretation of preclinical data is essential.