AbbVie · 22 hours ago
Postdoctoral Fellow, Computational Genetic and Safety Data Science
North Chicago, IL
Full-time
Onsite
New Grad
$73K/yr - $138K/yrAbbVie is dedicated to discovering and delivering innovative medicines to address serious health issues. The Postdoctoral Fellow will develop AI-driven methodologies to link genomic evidence with safety outcomes, playing a crucial role in enhancing drug development processes.
BiotechnologyFinancial ServicesHealth CareMedicalPharmaceuticalVenture Capital
Responsibilities
Identify, curate, and process internal and external genetic and safety-related datasets, applying sophisticated data science methodologies
Design and implement agentic AI systems capable of autonomous data querying, extraction, and interpretation across traditionally siloed safety and genomic domains
Develop advanced data harmonization techniques and standardized ontologies to enable integration of genetic, preclinical, and clinical safety datasets
Implement graph-based retrieval-augmented generation (RAG) methods to enhance knowledge extraction and information synthesis
Develop cross-pathway analytical methods using AI to predict safety outcomes for multiple targets and combination therapies
Collaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods that support discovery and preclinical safety studies
Generate and validate experimental hypotheses derived from AI models in collaboration with in vitro teams
Publish research findings in peer-reviewed journals and present at scientific conferences
Qualification
Required
PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall graduates are also welcome to apply)
Strong programming skills in Python with experience in data manipulation, analysis, and machine learning libraries
Demonstrated experience in applying advanced AI/ML methods to biological problems
Experience with database querying, management systems, and data extraction techniques for large datasets
Knowledge of natural language processing (NLP) and/or large language models (LLMs)
Experience with genomic data analysis, including variant interpretation or population genetics
Proficiency in statistical analysis and interpretation of complex biological datasets
Demonstrated ability to develop data visualization tools and interfaces for biological data representation
Excellent communication skills, with ability to translate complex computational findings to diverse stakeholders
Track record of scientific creativity and problem-solving in research activities
Preferred
Experience with agentic AI systems, prompt engineering, or multi-agent frameworks
Familiarity with retrieval-augmented generation (RAG) and knowledge graph applications
Experience with semantic search, ontology development, and cross-domain data integration
Background in clinical safety, toxicology, or pharmacology
Understanding of biological pathways and their relationship to disease mechanisms or drug response
Experience with cloud computing environments and large-scale data processing
Familiarity with topic modeling, semantic modeling, or other text mining approaches
Experience working with large-scale genomic datasets (e.g., UKBB, FinnGen)
Knowledge of in vitro safety assays and translational medicine concepts
Publication history in relevant fields (AI/ML, genetics, toxicology)
Experience with deep learning frameworks and generative AI models (e.g., GANs, VAEs)
Benefits
Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Short-term incentive programs
Company
AbbVie
AbbVie is a biopharmaceutical company focused on immunology, oncology, neuroscience, virology, and aesthetics. It is a sub-organization of AbbVie.
Founded in 2013
10001+ employees
H1B Sponsorship
AbbVie has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (273)
2024 (190)
2023 (225)
2022 (284)
2021 (186)
2020 (186)
Funding
Current Stage
Public CompanyTotal Funding
$15B2024-02-27Post Ipo Debt· $15B
2023-03-08Post Ipo Equity· $0.25M
2012-12-20IPO
Leadership Team
Robert Michael
Chairman of the Board and Chief Executive Officer
Micah Bregman
Vice President, Global Strategy and Pipeline, Allergan Aesthetics
Recent News
2026-01-09
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Morningstar.com
2026-01-08
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