Principal Research Data Scientist (Hybrid)

AbbVie Information Research seeks a Principal Research Data Scientist to design architect and develop AI data solutions that drive the advancement of our AI and machine learning this role you will collaborate closely with data engineers data scientists architects and business analysts to support world-class research and development foster technological innovation and promote continuous improvement. 

Responsibilities: 

• Collaborate with cross functional team of architects data scientists business system analysts and product owners to understand requirements and deliver fit for purpose solutions. 
• Design develop and maintain scalable AI ready data solutions for diverse data sets to support pharma R&D value chain. 
• Support projects involving the integration of LLMs (such as GPT or Claude or similar technologies) for data mining knowledge extraction and automation of data-driven insights. 
• Capture and interpret user requirements into expressive data models that enable graph analytics semantic reasoning and GenAI integration. 
• Research and recommend appropriate tools frameworks and platforms for graph databases vector stores and large language models integration including agent-based solutions. 
• Provide technical leadership act as a subject matter expert and advisor to partners on the feasibility and impact of emerging technologies in the AI data space. 
• Architect solutions to operationalize machine learning models including model deployment monitoring and lifecycle management. 
• Ensure compliance with applicable AbbVie software development lifecycle policies and procedures. 
• Present complex graphs and GenAI relationships through visualizations translating technical results into business insights. Create compelling data-driven presentations and dashboards for executives project sponsors and non-technical audiences. 

Qualifications :

Required:

• Bachelors Degree with 8 years experience; Masters Degree with 7 years experience; PhD with 3 years experience.
• Must have experience with Neo4j & Elastic Search database technologies. 
• Must have experience with supporting AI/ML initiatives including LLM integration Data Agents Agentic Memory and Graph RAG systems. 
• Must have experience with text mining and unstructured data processing. 
• Must have experience with Pharmaceutical R&D industry-centric datasets. 

Preferred:

• Background in life sciences or work experience in the pharmaceutical industry preferred
• Masters degree 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 role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors 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 long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion 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  & Puerto Rico applicants seeking a reasonable accommodation click here to learn more:

Work :

No

Employment Type :

Full-time