Senior Scientist, Biologics Purification I/II

Job description

Job Description Join AbbVie’s Biologics Discovery Sciences group and make a tangible impact in advancing innovative biologic therapies. As a scientist specializing in Biologics Purification, you will play a pivotal role in driving drug discovery, collaborating within a dynamic team dedicated to supporting transformative science that improves patient lives worldwide. Your expertise will help deliver high-purity multi-specific antibody-based biologic candidates with suitable purity/characteristics to support the advancement of vital in vitro (i.e. drug-like property assays, binding, cell-based assays, etc.) and in vivo studies (i.e. efficacy, non-GLP NHP PK, DRF, etc.). Key Responsibilities: Lead small-scale ( Design and execute advanced chromatography techniques and robust bioprocess development strategies to address production impurities and liabilities to deliver high quality antibody biologics to therapeutic areas Execute rigorous analytical characterization of molecules, end products, by-products, and process intermediates Apply Design of Experiments (DOE) with high throughput automation to optimize chromatography conditions for enhanced separation and resolution of complex protein mixtures Drive innovation to support continuous improvement in downstream biologics processes and advance automation initiatives Collaborate with multidisciplinary teams, translating molecular insights into functional results Present findings clearly to diverse audiences and document results with rigor Qualifications BS, MS, or PhD in Bioinformatics, Biophysics, Chemical Engineering, or related field with typically 8-10 years (BS), 5-7 years (MS), or 0-3 years (PhD) of experience Deep proficiency in bioprocessing, column chromatography, and antibody-based biotherapeutics manufacturing is required Expertise with AKTA chromatography systems is required Experience operating high throughput automated liquid handling systems for chromatography applications (i.e. Tecan, Hamilton; plate-based screening, robocolumns) is desireable Demonstrated success designing and executing DOE studies with successful application to protein production scale-up is preferable Familiarity with programming languages (i.e. Python) and developing Bioinformatics or AI/ML tools is a plus Strong understanding of molecular and post-translational attributes of biologics Exceptional analytical, communication, and presentation skills Collaborative spirit and dedication to scientific excellence