Associate Data Scientist

AbbVie Information Research is seeking an Associate Data Scientist with focus on Knowledge Graph Engineering to design, build, and maintain the semantic data infrastructure that connects information across our domains. In this role you will translate complex source data into well-modeled, interlinked graph structures, write the queries and pipelines that populate and validate them, and collaborate with domain experts, and platform teams to make our knowledge graph a reliable, query able source of truth. This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions., * Graph data modeling. Contribute to Design and refine labeled-property and/or RDF graph models - nodes, relationships, properties, and constraints - that accurately represent entities and their connections across source systems.

• Pipeline development. Build, test, and maintain ingestion pipelines that extract data from relational, document, and file-based sources, transform it, and load it into the graph using batch and incremental patterns.
• Query engineering. Write, optimize, and document Cypher queries for data loading, validation, entity resolution, and downstream retrieval, including support for graph-backed and retrieval-augmented applications.
• Data quality and validation. Implement constraints, validation rules, entity resolution (e.g., SHACL or property checks), and automated tests that keep the graph consistent, traceable, and trustworthy.
• Performance and operations. Monitor graph performance, tune indexes and queries, and assist with environment management across development, validation, and production tiers.
• Collaboration and documentation. Partner with cross functional teams, analysts, and domain subject-matter experts to gather requirements; document data models, lineage, and design decisions clearly for technical and non-technical audiences.

• Bachelor’s Degree with 2 years’ experience; or Master’s Degree equivalent education with no additional experience.
• Exposure with software development life cycle including Git, testing, and basic CI/CD workflows.
• Exposure with at least one graph database (e.g., Neo4j, Amazon Neptune, Tiger Graph, or an RDF triple store) and its query language (Cypher or SPARQL).
• Exposure with any data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) including structured and unstructured data.

Preferred:

• Exposure working with entity resolution, record linkage, knowledge graph construction, vector databases and embeddings, and retrieval-augmented generation (RAG) or graph-RAG patterns is preferred.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• 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 roleat the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• 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 short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount isearned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolutediscretion, consistent with applicable law.

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.