Data Scientist Published Clinical Evidence & Intelligence Insights

ICompany Description

Abb Vie'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.

Data Scientist II for Published Clinical Evidence & Competitive Intelligence Insights (all genders)

Abb Vie'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 Data Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting Abb Vie'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.

• Leverage scientific domain and technical knowledge to support clients across Abb Vie 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 Abb Vie.
• Support efforts for streamlining Abb Vie'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 technological trends relevant for knowledge analysis and insights discovery.
• Achieve great results, while demonstrating key Abb Vie values and behaviors.

• Bachelor's degree (7+ years of experience), Master's degree (5+ years of experience) or Ph.D. degree (0-2 years of experience) in life sciences, medicine, pharmacy, bioinformatics, biomedical/clinical data science or related field.
• Solid scientific domain knowledge in late-stage pharmaceutical development, including Medical Affairs, Clinical Development, Pharmacovigilance, Health Economics & Outcomes Research (HEOR), or Epidemiology, shown through education or work experience.
• Proficiency in Python is required and experience in front-end technologies (HTML, JavaScript, CSS, React) as well as basic working experience with Linux/Unix-based OS or Docker is a plus.
• Competence in using GenAI models for knowledge extraction as well as basic understanding of agents and agentic workflows (MCP, A2A).
• Experience in analyzing publications, especially literature, is essential. Ideally also experience with drug pipeline or trial CI databases (e.g. Clarivate's Cortellis Competitive Intelligence, Citeline's Trial trove or Pharmaprojects).
• Strong analytical skills to process, analyze, visualize, and present results to variety of audiences. Knowledge of common technologies and formats for retrieval, analysis and visualization of complex data. Experience using relational databases and SQL (Oracle, Apache Hadoop).
• Systematic problem-solving mind, quick learner and superior attention to detail in developing tailored solutions, high degree of reliability and integrity.
• Ability in…