Data Scientist II Published Clinical Evidence & Intelligence Insights

Company 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. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In, Tik Tok.

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 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 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.

This includes literature, patent, conference, news, clinical trial, and competitive intelligence data such as competitor pipelines.

The Data Scientist should have a 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 Abb Vie.

• 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 technology trends relevant for knowledge analysis and insights discovery.
• Achieve great results, while overwhelmingly demonstrating key Abb Vie values and behaviors.

• 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…