Data Scientist II for Published Clinical Evidence & Competitive Intelligence Insights

AbbVie•North Chicago, IL

About The Position

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. AbbVie's global Information 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 that impact advancement 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). Leveraging cutting-edge technologies and scientific expertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making. Our team possesses the scientific and technical expertise to utilize and 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 AbbVie's 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, clinical trial, 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 and demonstrate high 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, and monitoring published 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 AbbVie's pipeline.

Requirements

Bachelor's degree (with 5 years of experience), Master's (4 years), 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 development—Medical Affairs, Clinical Development, Pharmacovigilance, HEOR, Epidemiology—proven 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

Nice To Haves

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., Clarivate's Cortellis, Citeline's 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)

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 systematically identify, extract, normalize and database key insights and evidence from publications as well as other published sources using GenAI and other state-of-the-art technology and data science solutions
Work with key stakeholders and expert teams to identify novel sources for manually curated competitive intelligence and clinical trial data and integrate in existing workflows to democratize access across AbbVie
Support efforts for streamlining AbbVie's systematic literature review process and knowledge extraction from (full-text) publication resources
Provide unique scientific insights and expertise by designing and developing solutions for finding, extracting, curating, and visualizing knowledge from published and internal data
Monitor and be attuned to new technology trends relevant for knowledge analysis and insights discovery
Achieve great results, while overwhelmingly demonstrating key AbbVie values and behaviors.

Benefits

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.

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