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Senior Data Scientist, RBQM Analytics

AbbVie

Salary not specified
Sep 19, 2025
North Chicago, IL, US
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Unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.

Requirements

  • Advanced career level proficiency in R, Python or other statistical packages.
  • Intermediate-level knowledge of statistical and data mining techniques
  • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
  • Proven expertise with Machine Learning and other advanced analytics techniques
  • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred

Responsibilities

  • In addition to standard statistical methods, develops prototypes, test methods and algorithms.
  • Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
  • Enables data-driven insights to support of clinical development, including precision medicine
  • Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
  • Applies machine learning techniques to validate assumptions and predict future behavior

Other

  • Connects with cross-functional teams to design work product and as an analytics consultant.
  • Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
  • Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards.
  • Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
  • Responsible for coaching and mentoring junior team members
  • Demonstrated effective communication skills.
  • Demonstrated ability to communicate analytical and technical concepts in layman’s terms
  • Demonstrated problem-solving and analytical skills
  • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively