Senior Data Scientist II – Therapeutic Modality Insights & Competitor Intelligence (San Francisco, CA)

Role Summary

Senior Data Scientist II on AbbVie’s SPICE team, focused on Therapeutic Modality Knowledge & Intelligence Solutions. Leads development of AI-powered insights from literature, patents, news, and competitor intelligence to inform AbbVie’s R&D and corporate strategy. Combines deep scientific and technical expertise to design innovative knowledge solutions for emerging therapeutic modalities and GenAI-enabled analytics. Collaborates cross-functionally to deploy scalable, data-driven solutions that advance the pipeline and competitive positioning.

Responsibilities

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

Qualifications

• Required: PhD (with 4+ years relevant experience) in life sciences (biology, pharmacology, chemistry, biotechnology, bioinformatics, pharmacy, medicine, biomedical data science, or related). Equivalent experience considered at Master's (10+ years) or Bachelor's (12+ years) level.
• Required: Deep knowledge of emerging therapeutic modalities, such as biotherapeutics (ADCs, mAbs, multispecific antibodies, cell therapies, etc.), different types of degraders, gene therapies (AAV, lentiviral, CAR-T, CRISPR, etc.), RNA therapies (mRNA, siRNA, ASO), as shown in recent industry advances
• Required: Demonstrated leadership in designing and delivering creative technology solutions that advance business and scientific objectives; proven ability to translate complex scientific/business questions into actionable, large-scale information solutions.
• Required: Solid background in programming, informatics, and data science. Proficiency in Python required.
• Required: Hands-on expertise with extraction and integration of knowledge from literature, patents, competitive intelligence databases (e.g., Citeline, Cortellis), and news/press release sources.
• Required: Competence in using GenAI models for knowledge extraction (including prompting, pitfalls, etc.).
• Required: Ability to rapidly learn and adapt to new advances in therapeutic modalities and information technologies and balancing multiple projects with shifting priorities.
• Required: Strong analytical, organizational, and problem-solving skills, with superior attention to detail and high degree of reliability and integrity.
• Required: Excellent written and oral English communication skills; proven ability to present complex concepts clearly to scientists, non-scientific audiences and different leadership levels
• Required: Demonstrates scientific curiosity, technical creativity, and a proactive drive for innovation to break new ground in the field of information analysis and insights generation.
• Preferred: Pharmaceutical industry experience.
• Preferred: Experience working in fast-paced, dynamic, multidisciplinary, and collaborative settings and global teams.
• Preferred: Familiarity with data engineering, software development principles, relational databases and SQL (e.g., Oracle, Hadoop) as well as common formats/APIs (REST, XML, JSON, Python libraries like Pydantic).
• Preferred: Experience with embedding Gen AI models in larger Python-based workflows to automate knowledge extraction tasks.
• Preferred: Basic understanding of agents and agentic workflows (MCP, A2A).