We are seeking a highly motivated and collaborative Associate Scientist to join our Dermatology Immunology group within Discovery Research. This individual will support early- through late-stage discovery programs by supporting complex in vitro experiments to study skin inflammation and immune biology. The ideal candidate has hands-on experience in primary cell culture, functional immunoassays, and an interest in complex 3D models like spheroids, organoids, or organ-on-chip systems.
Key Responsibilities
In Vitro Model Development: Support and execute in vitro assays using primary skin and immune cells to model inflammatory disease mechanisms.
Assay Execution: Perform proliferation, differentiation, and co-culture experiments. Support immunoassays such as ELISA, MSD, and luminescent readouts.
Complex Systems: Work with or support 3D skin models, organoids, or microfluidic-based organ-on-chip systems. Experience is a plus but not required.
Data & Documentation: Analyze and interpret experimental results. Document work clearly in electronic lab notebooks and present findings to the team.
Techniques: Utilize cell culture, pipetting, qPCR, immunoassays, and support flow cytometry or imaging-based analysis where appropriate.
Protocol Development: Adapt existing SOPs and contribute to optimization of assay workflows.
Cross-functional Collaboration: Partner with scientists across dermatology, immunology, and other functional teams to support program goals.
Associate Scientist II
- Bachelor’s degree with 3+ years of relevant lab experience, or Master’s degree with 0 years experience.
Scientist I
- Bachelor’s degree with 5+ years of experience, or Master’s degree with 2+ years of experience.
Preferred Skills
Experience working with skin-relevant cell types (keratinocytes, fibroblasts, endothelial and immune cells).
Familiarity with 3D or microfluidic systems (e.g., spheroids, organoids, organ-on-chip).
Experience with immunoassays such as ELISA, MSD, or luminescence platforms.
Exposure to flow cytometry, imaging, is preferred but not required.
Strong data organization, communication, and teamwork skills.
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