Data Scientist

AbbVieNorth Chicago, IL

About The Position

We are seeking an analytically driven and intellectually curious Data Scientist to join the Advance Solutions Team within the DELOS (Data, Exploration & Linked Outcomes Solutions) Research Group. This role will provide technical expertise in real-world data (RWD) analytics, advanced statistical methods, and data science to support cross-functional research initiatives. The ideal candidate combines strong quantitative skills with healthcare domain knowledge and a passion for translating complex datasets into actionable insights that drive evidence-based decision-making.

Requirements

  • Bachelor’s Degree with 4 years experience OR Masters Degree with 2 years of experience
  • Strong SQL skills and ability to perform data engineering tasks to structure data for fit-for-purpose analytical needs.
  • Proficiency in Python and R for statistical analysis, data manipulation, and machine learning applications.
  • Qlik Sense experience or strong experience in creation of analytical reports and data visualizations.
  • Knowledge of statistical methods including survival analysis, hypothesis testing, regression, and machine learning models.
  • Demonstrated ability to learn, understand, and master new technologies.
  • Strong written and oral English communication skills.
  • Ability to multitask and work within timelines in a fast-paced environment.
  • Analytical reasoning abilities, intellectual curiosity, and creativity in problem solving.

Nice To Haves

  • Background in life sciences or work experience in the pharmaceutical/healthcare industry preferred.
  • Experience working with real-world healthcare data (claims, EHR, clinical trial data) preferred.

Responsibilities

  • Lead and execute agile sprints with stakeholders from all business domains, gathering requirements and delivering actionable data solutions.
  • Harmonize and integrate patient-level data (genomics, clinical trial, EHR/claims, real-world evidence, etc.) across business lines.
  • Partner closely with project owners to ensure data, tools, and AI solutions are scalable, fit-for-purpose, and impactful.
  • Serve as the point person for high-priority, cross-functional initiatives (e.g., obesity, Mace, indication expansion, combo therapy, IL31, TL1A).
  • Contribute to the organization’s long-term data/AI/tool strategies by sharing hands-on knowledge and workflow improvements.
  • Drive engagement, adoption, and change management by actively collaborating with teams from early research through commercial and M&A.
  • Serve as a key contributor on the Advance Solutions Team within DELOS, working in close partnership with cross-functional research teams and becoming a trusted analytical partner to stakeholders across Medical, Value & Evidence, and Health Economics & Outcomes.
  • Design and execute real-world data (RWD) research projects utilizing healthcare databases (insurance claims, EHR, and clinical trial data), collaborating with clinicians, epidemiologists, and statisticians to ensure methodological rigor and external validity.
  • Develop and implement complex SQL queries and data engineering pipelines to define patient cohorts and structure data for downstream analysis in R, Python, and Qlik Sense dashboards.
  • Apply advanced statistical and machine learning methods — including survival analysis, hypothesis testing, disease prevalence modeling, clustering, and predictive modeling — to extract insights from large, complex healthcare datasets.
  • Build, maintain, and optimize analytical tools and Qlik Sense dashboards that deliver actionable insights to key stakeholders.
  • Proactively identify new data science approaches and methodologies that improve the team’s ability to answer research and business questions, staying abreast of leading-edge techniques.
  • Work with stakeholders to define research questions, requirements, timelines, objectives, and success criteria for data science initiatives.
  • Ensure data science projects are conducted on time, accurately, within budget, and in accordance with financial and ethical compliance guidelines.

Benefits

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs.
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