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 atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

AbbViesglobalInformation Research (IR) group has a mission to unlock information that makes cures possible. Within IR, the Enterprise Knowledge Accelerator (EKA) team is the trusted knowledge partner for clients in R&D and the Corporate Business & Strategy Office (CBSO). EKA drives innovation and enhances knowledge-sharing across the value chain, for better and faster decisions thatimpactadvancement in our pipeline. The team is a global organization, with presences at the Lake County, Illinois headquarters and Boston, Massachusetts areas (US), as well as the Ludwigshafen site (Germany). Leveragingcutting-edgetechnologies and scientificexpertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making.Our teampossessesthe scientific and technicalexpertisetoutilizeand provide guidance on a wide range of knowledge sources, ensuring high-quality answers for our clients.

The Data Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting AbbVies R&D, CBSO and other business functions enterprise wide. SPICE provides business partnership, resource consultancy, ad-hoc research support for business-critical questions, knowledge and insights mining and analysis, as well as designing and building innovative self-service solutions for insights generation from published resources and internal knowledge. This includes literature,patent,conference, news, clinicaltrial, and competitive intelligence data such as competitor pipelines.

The Data Scientist should have sufficiently strong background in both science and technology to fulfil this role anddemonstratehigh motivation to expand their knowledge in a pharma context and as SME for key client groups. The role is expected to collaborate effectively within SPICE, EKA, and the larger IR organization, driving impactful results for all of AbbVie. Responsibilities include developing novel AI-based capabilities for extracting, harmonizing, andmonitoringpublished clinical trial data, real-world evidence, and other competitive insights. They will closely collaborate with internal expert teams to define requirements and integrate manually curated data and insights, thereby supporting pipeline strategy, corporate strategy, and commercial teams with essential intelligence for advancing AbbVies pipeline.

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Responsibilities

• Leverage scientific domain and technical knowledge to support clients across AbbVie with the most relevant information and published insights for decision-making. Key focus: Competitive Intelligence, Corporate and Pipeline Strategy groups and data.

• Build and design new methods and automated workflows to systematicallyidentify, extract, normalize and database key insights and evidence from publications as well as other published sources using GenAI and otherstate-of-the-arttechnology and data science solutions

• Work with key stakeholders and expert teams toidentifynovel sources for manually curated competitive intelligence and clinical trial data and integrate in existing workflows to democratize access across AbbVie

• Support efforts for streamlining AbbVies systematic literature review process and knowledge extraction from (full-text) publication resources

• Provide unique scientific insights andexpertiseby designing and developing solutions for finding, extracting, curating, and visualizing knowledge from published and internal data

• Monitor and be attuned tonewtechnologytrends relevant for knowledge analysis and insights discovery

• Achievegreat results,while overwhelminglydemonstratingkey AbbVie values and behaviors.

Required:

• Bachelors degree (with 5 years of experience), Masters (4years), or Ph.D. (0-2 years) in life sciences, medicine, pharmacy, bioinformatics, biomedical/clinical data science, or related field
• Solid scientific domain knowledge in late-stage pharmaceutical developmentMedical Affairs, Clinical Development, Pharmacovigilance, HEOR, Epidemiologyproven by education or work experience
• Solid programming and informatics/data science/computer science background. Proficiency in Python.
• Experience analyzing publications, especially scientific literature
• Proven ability to translate complex scientific or clinical questions into actionable solutions and insights
• Initial experience with data consolidation, standardization, optimization, or exploratory data analysis
• Experience with relational databases and SQL (e.g., Oracle, Apache Hadoop)
• Strong analytical skills to process, analyze, visualize, and present results
• Systematic problem-solving mindset, reliability, superior attention to detail
• Good communication skills for interdisciplinary teams and various audiences
• Good organizational skills: balance taking direction (from sponsors, partners, clients) with initiative for multiple projects
• Comfortable working in a dynamic, collaborative, fast-paced environment with constantly shifting priorities
• Innate scientific curiosity, technical creativity, and innovative thinking. Motivated to break new ground in the field of information analysis and insights generation.
• Fluency in English

Beneficial:

• Pharmaceutical industry experience.
• Experience with front-end technologies (HTML, JavaScript, CSS, React)
• Basic working experience with Linux/Unix-based OS and Docker
• Experience with GenAI models for knowledge extraction, their pitfalls, prompting and embedding them within Python workflows
• Basic understanding of agents/agentic workflows (MCP, A2A)
• Experience with drug pipeline or trial competitive intelligence databases (e.g., Clarivates Cortellis, Citelines Trialtrove, Pharmaprojects)
• Experience with data pipeline frameworks, text mining, NLP, semantic enrichment, ontologies, or data mining
• Knowledge of technologies for retrieval, analysis, and visualization (e.g., REST APIs, XML, JSON, Python libraries like Pydantic)

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

• This job is eligible toparticipatein our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable 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, visithttps://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