Senior Data Scientist II – Therapeutic Modality Insights & Competitor Intelligence (Cambridge, MA)

Role Summary

Senior Data Scientist II – Therapeutic Modality Insights & Competitor Intelligence, based in Cambridge, MA, leads advanced data science work on AbbVie’s SPICE team to advance therapeutic modality knowledge and intelligence solutions. The role focuses on extracting, harmonizing, and monitoring knowledge from literature, patents, news, and competitor intelligence to support R&D, CBSO, and enterprise-wide business strategies. It requires strong science and technology expertise, rapid learning of new therapeutic modalities, and leadership in developing GenAI-based and agentic knowledge solutions that drive competitive advantage.

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

• 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.
• 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.
• 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.
• Solid background in programming, informatics, and data science. Proficiency in Python 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.
• Competence in using GenAI models for knowledge extraction (including prompting, pitfalls, etc.).
• Ability to rapidly learn and adapt to new advances in therapeutic modalities and information technologies and balancing multiple projects with shifting priorities.
• Strong analytical, organizational, and problem-solving skills, with superior attention to detail and high degree of reliability and integrity.
• Excellent written and oral English communication skills; proven ability to present complex concepts clearly to scientists, non-scientific audiences and different leadership levels.
• Demonstrates scientific curiosity, technical creativity, and a proactive drive for innovation to break new ground in the field of information analysis and insights generation.

• Pharmaceutical industry experience.
• Experience working in fast-paced, dynamic, multidisciplinary, and collaborative settings and global teams.
• 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).
• Experience with embedding Gen AI models in larger Python-based workflows to automate knowledge extraction tasks.
• Basic understanding of agents and agentic workflows (MCP, A2A).