Program Overview AbbVie needs outstanding individuals willing to challenge themselves to find the best solutions for our patients. The AbbVie Postdoctoral Program is one way we are doing just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt literature to accomplish assignments, and should have mastery of a range of experimental techniques and data analysis specific to their area of expertise.The Postdoctoral Program supports investigational and experimental research where publication is an important component. Participants will be mentored by renowned industry scientists and collaborators at AbbVie and focus on delivering cutting-edge advancements in Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process.We are seeking scientists from U.S.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the opportunity to build a solid career foundation in the pharmaceutical industry while contributing to advancing human health through AbbVie’s industry-leading biopharmaceutical pipeline.Role OverviewIn this cross-functional role, the postdoctoral fellow will develop AI-driven methodologies to bridge the gap between genomic evidence and safety outcomes, addressing a critical challenge in pharmaceutical development. This position sits at the intersection of artificial intelligence, human genetics, and safety assessment, supporting AbbVie's commitment to leveraging genetic insights to improve clinical success rates.Working under the mentorship of experts in genetics, patient safety, and AI/ML, the postdoc will have access to AbbVie's unparalleled genetic and safety datasets. This project represents a key initiative within AbbVie's broader AI strategy, with direct applications to accelerate drug development and reduce safety-related attrition across multiple therapeutic areas.Key ResponsibilitiesIdentify, curate, and process internal and external genetic and safety-related datasets, applying sophisticated data science methodologiesDesign and implement agentic AI systems capable of autonomous data querying, extraction, and interpretation across traditionally siloed safety and genomic domainsDevelop advanced data harmonization techniques and standardized ontologies to enable integration of genetic, preclinical, and clinical safety datasetsImplement graph-based retrieval-augmented generation (RAG) methods to enhance knowledge extraction and information synthesisDevelop cross-pathway analytical methods using AI to predict safety outcomes for multiple targets and combination therapiesCollaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods that support discovery and preclinical safety studiesGenerate and validate experimental hypotheses derived from AI models in collaboration with in vitro teamsPublish research findings in peer-reviewed journals and present at scientific conferences