Associate Principal Scientist, Downstream Bioprocess Modeling, Digital Insights

Role: Associate Principal Scientist in Process Modeling & Analytics within Development Sciences and Clinical Supply Digital Technologies. Focuses on mechanistic modeling of downstream biologics processes, especially chromatography and adjacent unit operations, to inform resin choice, gradient and cycle design, robustness, and scale-up. Responsibilities include building, calibrating, and validating models using tools like CADET and GoSilico; designing experiments for parameter estimation; applying models to guide process decisions; extending modeling to viral inactivation, UF/DF, and filtration; managing end-to-end projects; mentoring junior scientists; and shaping team roadmaps. Qualifications: Ph.D., M.S., or B.S. in Chemical Engineering, Bioengineering, or related fields with 3-7+ years of industrial/pharmaceutical experience; strong expertise in chromatography, transport phenomena, and process simulation; experience in biologics (mAbs, vaccines, viral vectors) preferred. Skills: mechanistic modeling, parameter estimation, process development, and digital tools; Python and machine learning familiarity advantageous. High-value details include focus on biologics downstream processes, process development and scale-up, multi-modality pipeline support, and collaboration across DSP scientists, engineers, and technical leads. Work setup: hybrid; no travel specified.