Senior Data Scientist II – Therapeutic Modality Insights & Competitor Intelligence

Role Summary

The Senior Data Scientist will join the Solutions for Published Insights & Client Enablement (SPICE) team, supporting AbbVie’s R&D, CBSO, and other business functions enterprise-wide. The role leads the development of advanced AI-powered and data science solutions to generate and harmonize knowledge on emerging therapeutic modalities, with a focus on genetic medicines, innovative biotherapeutics, and RNA therapies. You will design and implement GenAI-based and agentic knowledge solutions, collaborate cross-functionally, and translate scientific questions into scalable information solutions to support pipeline and corporate strategy.

Responsibilities

• Conceive, design, and implement advanced AI-powered published insights solutions (incl. agentic workflows) addressing significant scientific and strategic trends and knowledge gaps in therapeutic modalities.
• Develop and deliver innovative intelligence solutions that extract, analyze, summarize, integrate and proactively monitor knowledge about novel therapeutic modalities (e.g., gene/cell therapies, RNA/antibody-based drugs) to address urgent scientific and business needs.
• Apply expertise in knowledge & information science, Generative AI/NLP, data warehousing, and software development to build robust data pipelines and analytical workflows for large, unstructured data sources (literature, patents, news, competitor pipelines).
• Demonstrate deep knowledge of pharmaceutical R&D, drug development, and therapeutic modality trends.
• Operate with high autonomy, tackling complex problems and driving multiple projects with minimal supervision.
• Pursue and evaluate external and internal leads in novel modalities and data sources, rapidly incorporating findings into project strategies and generating actionable insights.
• Collaborate cross-functionally with scientific, corporate strategy, and other R&D teams to ensure solutions meet real-world needs and democratize access to intelligence.
• Mentor or supervise junior data & information scientists.
• Stay at the forefront of emerging trends, methodologies, and technologies to advance therapeutic modality & competitor intelligence.
• Author high-impact presentations and publications, communicating findings to diverse audiences.
• Ensure adherence to compliance, data security, GxP, and code of conduct.
• Achieve results while demonstrating AbbVie values and behaviors.

Qualifications

• PhD (with 4+ years relevant experience) in life sciences or equivalent experience (Master’s with 10+ years or Bachelor’s with 12+ years).
• Deep knowledge of emerging therapeutic modalities (biotherapeutics, degraders, gene therapies, RNA therapies, etc.) as shown in recent industry advances.
• Proven leadership in designing and delivering creative technology solutions that advance business and scientific objectives; ability to translate complex questions into actionable, large-scale information solutions.
• Solid programming, informatics, and data science background; proficiency in Python.
• Hands-on expertise extracting and integrating knowledge from literature, patents, CI databases, and news sources.
• Competence in using GenAI models for knowledge extraction (prompting, pitfalls, etc.).
• Ability to rapidly learn and adapt to new advances and balance multiple projects with shifting priorities.
• Strong analytical, organizational, and problem-solving skills with high attention to detail.
• Excellent written and oral English communication; ability to present complex concepts to scientists and leadership.
• Scientific curiosity, technical creativity, and proactivity in innovation for information analysis and insights generation.

• Pharmaceutical industry experience.
• Experience in fast-paced, dynamic, multidisciplinary, global team settings.
• Familiarity with data engineering, software development principles, SQL, and common data formats/APIs; Python libraries (e.g., Pydantic).
• Experience embedding GenAI models in Python-based workflows to automate knowledge extraction tasks.
• Basic understanding of agents and agentic workflows (MCP, A2A).