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

Company: AbbVie
Location: South San Francisco
Posted on: January 9, 2026

Job Description:

Company Description AbbVie'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 AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description AbbViesglobalInformation 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 thatimpactadvancement 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). Leveragingcutting-edgetechnologies and scientificexpertise, we deliver industry-leading capabilities to harness insights from published content for high-impact decision-making.Our teampossessesthe scientific and technicalexpertisetoutilizeand provide guidance on a wide range of knowledge sources, ensuring high-quality answers for our clients. TheSeniorData Scientist will join the Solutions for Published Insights and Client Enablement (SPICE) team, supporting AbbVies 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, clinicaltrial, and competitive intelligence data such as competitor pipelines. As a Senior Data Scientist on the Solutions for Published Insights & Client Enablement (SPICE) team, you will serve as the lead data scientist focused on advancing AbbVies competitiveness by driving Therapeutic Modality Knowledge & Intelligence Solutions.You will lead the creation of new methods and algorithms for extracting, harmonizing and proactive monitoring of knowledge on emerging therapeutic approaches, critically evaluatenew technologiesand scientific advances, and integrate them into impactful business solutions, to set AbbVie up for future success in a competitive landscape.You will play a critical role inidentifyingandfilling strategicknowledge gapsaroundemerging therapeutic modalitiesincluding genetic medicines, innovative biotherapeutics, and RNA therapiesthrough the design and implementation ofinnovativeGenAI-based and agenticknowledgesolutions.Your leadership will enable AbbVie toleveragehigh-value insights extracted, harmonized, and integrated fromliterature, patents,news, and competitor intelligence.In this role, you willcollaborate cross-functionally with otherEKA/IR and businessteams to develop and deploy AI-powered and data science solutions that support AbbVies pipeline strategy, corporate strategy, and R&D initiatives.The position requires a strong background in both science and technology, and the ability to rapidly learn and adapt to new scientific advances in therapeutic modalities and information technology (such as generative AI solutions and AI agents), given the dynamic and expanding landscape. Responsibilities Conceive, design, and implement advanced AI-powered published insights solutions(incl. agentic workflows)that address significant scientific and strategictrends andknowledgegapsin therapeutic modalities. Develop and deliver innovative, high-qualityintelligence solutions thatsystematicallyextract,analyze,summarize,integrateand proactivelymonitorkey knowledge about novel therapeutic modalities (such as gene/cell therapies andinnovativeRNAor antibody-based drugs) to address urgent scientific and business needs. Apply broadexpertiseinknowledge &information science, GenerativeAI/NLP, data warehousing, andsoftware developmentto build robust data pipelines and analytical workflows for large and complexpublished(often unstructured)data,includingliteraturepublications, 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 sourcesrapidly incorporating new findings into project strategies and generate novel, actionable insights for R&D and business strategy. Collaborate cross-functionally with scientific, corporate strategy, andother R&Dteams to ensure solutions meet real-world needs, fill knowledge gaps, and democratize access to key intelligence. Mentor or supervise juniordata & information scientists Stay at the forefront of emerging trends, methodologies, and technologies that can advance therapeutic modality& competitorintelligenceatAbbvie. Author high-impact presentations and publications, communicating findings to diverse audiences. Ensure adherence to AbbVies standards of compliance, data security,GxP, and code of conduct. Achievegreat results, while overwhelminglydemonstratingkey AbbVie values andbehaviors. 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. 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. Beneficial: 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). Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law: The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees. This job is eligible toparticipatein our short-term incentiveprograms. Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html

Keywords: AbbVie, Gilroy , Senior Data Scientist II Therapeutic Modality Insights & Competitor Intelligence (San Francisco,, IT / Software / Systems , South San Francisco, California