Associate Scientist, Data II

Posted 4 Days Ago
North Chicago, IL, USA
Hybrid
66K-126K Annually
Junior
Healthtech • Pharmaceutical
The Role
Build and maintain knowledge graph infrastructure by modeling graph data, developing ingestion pipelines, writing Cypher or SPARQL queries, validating data quality, resolving entities, and tuning graph performance. Collaborate with architects, product owners, analysts, infrastructure teams, and subject-matter experts to deliver reliable data and analytics solutions. Document data models, lineage, and design decisions for technical and non-technical audiences.
Summary Generated by Built In
Company Description

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 several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

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.

Responsibilities: 

  • 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. 

Qualifications

Required:

  • 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. 

Additional Information

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. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Skills Required

  • Bachelor's degree with 2 years of experience, or master's degree with no additional experience
  • Exposure to the software development lifecycle, including Git, testing, and basic CI/CD workflows
  • Exposure to at least one graph database, such as Neo4j, Amazon Neptune, TigerGraph, or an RDF triple store, and its query language, such as Cypher or SPARQL
  • Exposure to data analysis programming languages, such as SQL, Python, Apache Spark, SAS, or R, including structured and unstructured data
  • Exposure to entity resolution, record linkage, knowledge graph construction, vector databases and embeddings, and retrieval-augmented generation or graph-RAG patterns

AbbVie Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.

  • Retirement Support Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
  • Parental & Family Support Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
  • Leave & Time Off Breadth Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.

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The Company
HQ: North Chicago, IL
50,000 Employees
Year Founded: 2013

What We Do

AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.

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