Senior Research Scientist I/II, Computational Biology & Toxicology

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 key therapeutic areas such as immunology, oncology, and neuroscience, as well as products and services in the Allergan Aesthetics portfolio. For more information, visit Job Description The Computational Toxicology group is dedicated to advancing in‑silico approaches that improve the prediction and mechanistic understanding of drug safety across small molecules, biologics, and emerging modalities. This role sits at the intersection of biological science and computational innovation. We are looking for a scientist with deep domain knowledge in biology who has also developed computational skills to independently design, build, and deploy data‑driven solutions. The ideal candidate can stand at the bench conceptually, understand what drives experimental variability, and architect computational solutions that reflect biological reality. The role focuses on integrating diverse data sources—including pharmacology, toxicology, genomics, pathology, chemistry, and clinical datasets—into predictive and interpretable models. You will work directly with research scientists to understand their workflows, co‑design solutions, and build tools that make computational capabilities accessible to generalist scientists across Development Sciences. Responsibilities Serve as a scientific translator between wet‑lab researchers and computational infrastructure, ensuring fit‑for‑purpose solutions by understanding experimental design, data provenance, and biological context. Engage directly with scientists to understand existing laboratory and analytical workflows, identify bottlenecks, and co‑design computational solutions that are practical, reproducible, and scalable. Develop user‑friendly tools, pipelines, and applications designed for scientists without a computational background, enabling broader Development Sciences teams to leverage computational insights. Partner with research scientists, data scientists, and safety experts to design, implement, and validate machine‑learning/AI strategies that address key discovery and preclinical safety questions. Curate, harmonize, and integrate multi‑modal datasets—including chemical, genomic, molecular, in‑vitro, pathology, and clinical sources—into scalable workflows that support safety insight generation and risk prediction. Translate computational findings into predictive models, analytical tools, and user‑friendly applications that support decision‑making in drug discovery and development. Clearly communicate methods and results to multidisciplinary stakeholders, tailoring messages for both technical and non‑technical audiences. Qualifications Senior Scientist I: Bachelors Degree with ~10 years of experience, Masters Degree with ~8 years, or PhD with no experience required. Senior Scientist II: Bachelors Degree with ~12 years of experience, Masters Degree with ~10 years, or PhD with 4 years. PhD in Computational Biology, Biology, Pharmacology, Biochemistry, or a related life science field, with substantial exposure to computational methods through coursework, dissertation research, or applied experience. Postdoctoral or industry experience preferred. Strong scientific foundation in biology with the ability to critically evaluate experimental data and contextualize computational outputs in mechanistic terms. Scientific coding fluency in Python (preferred) or R, with an emphasis on clean, functional, reproducible code. Working knowledge of machine learning applied to biological or safety datasets, selecting and justifying methods based on scientific context. Strong foundation in statistical and applied analytical methods, including hypothesis testing, Bayesian inference, regression, multivariate, and time‑series analyses. Expertise in advanced machine learning, including deep learning, supervised/unsupervised clustering, and classification algorithms (e.g., SVMs, random forests, gradient boosting). Demonstrated ability to communicate computational approaches and results to non‑computational scientists, presenting analytical strategies and translating findings into actionable insights. Preferred: Experience working with pathology and/or safety datasets; familiarity with integrating histopathology, clinical pathology, or safety study data into computational workflows. Hands‑on wet‑lab experience (e.g., experimental design, assay development, mechanistic biology studies) that informs understanding of data generation and biological constraints. Experience with scalable computing (parallelization, cloud platforms) and database querying for large biological datasets. Experience with generative AI (GANs, VAEs) or large language models (LLMs) in a scientific context. Experience in data visualization and interface development, emphasizing intuitive presentation of biological and safety data for non‑technical users. Additional Information The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance, and 401(k) to eligible employees. This job is eligible to participate in our long‑term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employer remains in the Company’s sole and absolute discretion until paid and may be modified. Equal Opportunity Employer AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, and serving our community. Equal Opportunity Employer / Veterans / Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation can learn more at #J-18808-Ljbffr BioSpace