Unternehmensbeschreibung
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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Stellenbeschreibung

TOOLS AND SKILLS YOU WILL USE IN THIS ROLE

• Excellent skills in developing Python code in a production environment and experience with enterprise platform integration
• Strong technical capabilities to programmatically use ontology management tools (e.g. CENtree), triple stores (e.g. Marklogic), and knowledge graphs (e.g. Neo4J)
• SQL, SPARQL, and Cypher skills (basic queries, table creation, views, and reporting)
• Familiarity with GitHub or other version control tools and project tracking platforms (e.g. JIRA)
• Experience working with foundational language models and LLM frameworks
• Mature interpersonal communication skills that will enable you to work with clients from AbbVie R&D and other business areas
• Excellent problem-solving skills
  Qualifikationen

EXPERIENCES THAT MAKE YOU A STRONG CANDIDATE FOR THIS ROLE

Required

• Bachelor’s degree in computer science or other relevant technical degree and at least 6 years relevant experience OR Master’s degree in relevant field and at least 5 years experience OR PhD degree in relevant field
• Working knowledge of using and building APIs
• Experience with pipeline software (e.g., Apache AirFlow), Machine Learning workflows (e.g., Cloudera ML)
• Familiarity with FAIR data principles and common life science data standards
• Knowledge of semantics, data modeling (RDF), and data mining techniques
• Demonstrated history of successful execution in a fast-paced, collaborative environment and in managing multiple priorities effectively
• Demonstrated ability to learn, understand and master new technologies
• Strong written and oral English communication skills.

Beneficial

• Background in life sciences and work experience in the bio-pharmaceutical industry
• Working knowledge of the drug discovery and development process
• Familiarity with life science resources (e.g., public or commercial databases) and descriptive metadata for small molecule and biologics research (e.g. omics)
• Experience designing and developing taxonomies, reference data, or controlled vocabularies

As a Senior Ontology Engineer, you will be responsible for

• Working with a team of experts to create and maintain an enterprise ontology service layer to provide common access to ontology information within AbbVie
• Demonstrating the benefits of using ontologies in conjunction with our in-house AI/LLM capabilities to produce more accurate and AbbVie-specific results
• Delivering clean, scalable, well-optimized Python code and creating and maintaining documentation, metrics, operating procedures and training materials
• Contributing to building out data governance rules for reference data and their use
• Supporting larger R&D-wide convergence initiatives, like our AbbVie R&D Convergence Hub (ARCH), with a comprehensive meta data model
• Understanding the Ontology and LLM landscape and help to evaluate the right tools for the right tasks
• Participating in the identification and development of new reference data sources and demonstrating applicability in selected projects with business data owner