Senior Scientist – Antibody Deep Screening Platform

AstraZeneca • Gaithersburg, MD

9d • $116,284 - $174,426 • Onsite

About The Position

Join the Discovery Innovation Team within Biologics Engineering—a multidisciplinary group that invents and implements novel approaches for biologics discovery. Your role will be to advance a deep screening technology that fuses next-generation sequencing with ribosome display to discover and optimize antibodies. This is not a routine role – it will involve careful design, prototyping and testing where you will need to fail fast and learn faster, ultimately bringing forward a technology to deploy in therapeutic programs

Requirements

• Ph.D. in molecular biology or related field
• M.S. with 5+ years’ experience
• B.S. with 10+ years’ experience
• Proven track record in antibody discovery using display-based in-vitro systems, from library generation to panning and screening of monoclonal binders.
• Strong experimental design skills with a bias toward rapid iteration and outcome-driven workflows.
• Hands-on, end-to-end experience with library sequencing on NGS platforms.
• Excellent communication and data presentation skills.

Nice To Haves

• Tissue culture and functional cell-based assay development.
• Fluorescence microscopy and image analysis.
• Computational fluency in NGS data analysis, including AI-based approaches.

Responsibilities

• Optimize wet lab components for in-vitro transcription/translation, ribosome display, and antibody screening.
• Construct NGS libraries for Illumina platforms, then work with our NGS core to build workflows to enable parallel antibody screening and sequencing
• Run enrichment campaigns using phage or yeast display with diverse libraries (naïve, synthetic, immune).
• Present findings to cross-functional teams with clarity and conviction.

Benefits

• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree