Scientist II/Senior Scientist I, Computational Toxicology
About AbbVie
Research-based biopharma developing medicines for serious diseases and aesthetics customers, anchored by immunology blockbusters, Botox/Allergan, and a broad late-stage pipeline.
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Job description
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and computation. We are seeking a hybrid scientist who is equally comfortable generating high-quality in vitro toxicology data at the bench and building the computational tools needed to interpret it. This individual will design and execute in vitro assays to generate mechanistic and predictive safety data, while also developing analytical pipelines, predictive models, and decision-support tools that extract maximum scientific value from that data — and from broader toxicology, pathology, and translational datasets. The successful candidate will understand firsthand how in vitro biological data are generated — including assay design, cell culture systems, experimental variability, and mechanistic interpretation — and will apply that hands-on knowledge to build computational approaches that are scientifically grounded and fit for purpose. This individual will serve as a scientific
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Company Description About AbbVie 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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Role Overview The Computational Toxicology group is advancing the use of data science, machine learning, and AI to improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging therapeutic modalities. This role is intentionally positioned at the intersection of laboratory science and computation. We are seeking a hybrid scientist who is equally comfortable generating high-quality in vitro toxicology data at the bench and building the computational tools needed to interpret it. This individual will design and execute in vitro assays to generate mechanistic and predictive safety data, while also developing analytical pipelines, predictive models, and decision-support tools that extract maximum scientific value from that data — and from broader toxicology, pathology, and trans [... source excerpt omitted ...] al methods, scientific leadership, cross-functional influence, and the ability to drive projects from experimental design through data analysis, modeling, and implementation. Key Responsibilities In Vitro Toxicology & Experimental Science Design, execute, and optimize in vitro toxicology assays (e.g., cell viability, high-content imaging, organ-on-chip, 3D/organoid, mitochondrial toxicity, genotoxicity, or immune cell-based assays) to support hazard identification and mechanistic investigation. Generate high-quality, reproducible experimental data to characterize compound-, biologic-, or modality-specific safety liabilities. Apply sound experimental design principles (controls, r [... source excerpt omitted ...] ion-making and advances program strategy. Foster adoption of both new in vitro methodologies and computational approaches by demonstrating scientific value and practical impact. Qualifications Senior Scientist I Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary. PhD in Toxicology, Pharmacology, Cell Biology, Biochemistry, Computational Biology, or a related life sciences discipline ideal. Senior Scientist II Bachelor's Degree or equivalent education and typically 12 years of experience, Master's Degree or equivalent education and typically 10
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