AbbVie · 1 day ago
Data Scientist II for Published Clinical Evidence & Competitive Intelligence Insights
Cambridge, MA
Full-time
Onsite
Mid Level
$82K/yr - $158K/yr
4+ years expAbbVie is a global biopharmaceutical company dedicated to discovering and delivering innovative medicines. The Data Scientist will support AbbVie’s R&D and corporate strategy by developing AI-based capabilities for extracting and analyzing published clinical trial data and competitive insights, collaborating with various teams to enhance decision-making across the organization.
BiotechnologyFinancial ServicesHealth CareMedicalPharmaceuticalVenture Capital
Responsibilities
Leverage scientific domain and technical knowledge to support clients across AbbVie 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 AbbVie
Support efforts for streamlining AbbVie’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 AbbVie values and behaviors
Qualification
Required
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 programming and informatics/data science/computer science background. Proficiency in Python
Experience analyzing publications, especially scientific literature
Proven ability to translate complex scientific or clinical questions into actionable solutions and insights
Initial experience with data consolidation, standardization, optimization, or exploratory data analysis
Experience with relational databases and SQL (e.g., Oracle, Apache Hadoop)
Strong analytical skills to process, analyze, visualize, and present results
Systematic problem-solving mindset, reliability, superior attention to detail
Good communication skills for interdisciplinary teams and various audiences
Good organizational skills: balance taking direction (from sponsors, partners, clients) with initiative for multiple projects
Comfortable working in a dynamic, collaborative, fast-paced environment with constantly shifting priorities
Innate scientific curiosity, technical creativity, and innovative thinking. Motivated to break new ground in the field of information analysis and insights generation
Fluency in English
Preferred
Pharmaceutical industry experience
Experience with front-end technologies (HTML, JavaScript, CSS, React)
Basic working experience with Linux/Unix-based OS and Docker
Experience with GenAI models for knowledge extraction, their pitfalls, prompting and embedding them within Python workflows
Basic understanding of agents/agentic workflows (MCP, A2A)
Experience with drug pipeline or trial competitive intelligence databases (e.g., Clarivate's Cortellis, Citeline's Trialtrove, Pharmaprojects)
Experience with data pipeline frameworks, text mining, NLP, semantic enrichment, ontologies, or data mining
Knowledge of technologies for retrieval, analysis, and visualization (e.g., REST APIs, XML, JSON, Python libraries like Pydantic)
Benefits
Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Company
AbbVie
AbbVie is a biopharmaceutical company focused on immunology, oncology, neuroscience, virology, and aesthetics. It is a sub-organization of AbbVie.
10001+ employees
H1B Sponsorship
AbbVie has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (273)
2024 (190)
2023 (225)
2022 (284)
2021 (186)
2020 (186)
Funding
Current Stage
Public CompanyTotal Funding
$15B2024-02-27Post Ipo Debt· $15B
2023-03-08Post Ipo Equity· $0.25M
2012-12-20IPO
Leadership Team
Robert Michael
Chairman of the Board and Chief Executive Officer
Micah Bregman
Vice President, Global Strategy and Pipeline, Allergan Aesthetics
Recent News
2026-01-09
2026-01-09
Company data provided by crunchbase