Sr. Scientist II, Molecular Biology/Microbiology

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

We are seeking a Senior Scientist II with a background in molecular biology and/or microbiology to join our peptide display hit generation team. In this role, you will:

• Lead and manage technology development projects and therapeutic peptide hit generation efforts.
• Utilize phage-display and/or mRNA-display peptide technologies, including the design and generation of peptide display libraries, screening against therapeutic targets, and identification and maturation of pharmaceutically relevant hits.
• Drive internal hit generation initiatives and manage relationships with contract research organizations (CROs) to achieve project goals.
• Leverage our innovative peptide microarray platform to accelerate hit identification and maturation from peptide display campaigns.

This position offers the opportunity to play a key role in discovering impactful peptide therapeutics within a collaborative and innovative team.

Responsibilities:

• Lead the development of in-house peptide display workflows utilizing our proprietary peptide microarray platform to accelerate hit identification. Responsibilities include designing and generating display libraries, screening peptide libraries against therapeutic targets, performing next-generation sequencing, and conducting large-scale data analysis.
• Explore and assess advanced technologies for modifying peptide display libraries, such as chemical modification and incorporation of non-canonical amino acids.
• Use proprietary data analysis tools to efficiently analyze next-generation sequencing data and other large-scale datasets derived from peptide display libraries.
• Demonstrate the ability to resolve key project hurdles and as