Senior Data Scientist, Clinical Analytics

AbbVie-posted about 1 year ago
Full-time • Mid Level
Irvine, CA
Chemical Manufacturing
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The Senior Data Scientist, Clinical Analytics role at AbbVie is a key technical leadership position focused on applying advanced analytics techniques to enhance clinical development processes. This role involves driving innovation and experimentation in analytics to provide data-driven insights for complex business challenges, utilizing machine learning and visual analytics. The position requires ensuring data integrity and quality, identifying suitable use cases for machine learning, and collaborating with cross-functional teams to optimize analytical solutions.

  • Connects with cross-functional teams to design work product and act as an analytics consultant.
  • Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.
  • Leads and helps establish design principles and standards for consistent analytical work products across projects.
  • Develops prototypes, test methods, and algorithms using emerging statistical methodologies, ML, and AI.
  • Enables data-driven insights to support clinical development, including precision medicine.
  • Ensures data integrity and quality in presentations and work products.
  • Leads cross-functional innovation and functional process improvement initiatives.
  • Ensures adherence to federal regulations, Good Clinical Practices (GCPs), and AbbVie Standard Operating Procedures (SOPs).
  • Coaches and mentors junior team members.
  • Identifies business needs and supports the creation of standard KPIs, reports, and statistical analyses.
  • Works with cross-functional teams to strategize on analytics for evaluating clinical trial progress and emerging risks.
  • Bachelor's or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 6+ years (BS), 4+ years (MS) or 2+ years (PhD) of related experience.
  • Expert-level proficiency in R, SAS or other statistical packages.
  • Intermediate-level knowledge of statistical and data mining techniques.
  • Expert proficiency with visualization tools like Spotfire, Tableau or equivalent.
  • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred.
  • Experience with Hadoop platforms and related 'big data' technologies is preferred.
  • Proven expertise with Machine Learning and other advanced analytics techniques.
  • Demonstrated effective communication skills, with the ability to explain analytical concepts in layman's terms.
  • Demonstrated problem-solving and analytical skills.
  • Demonstrated history of successful execution in a fast-paced environment and managing multiple priorities effectively.
  • Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred.
  • Experience with Hadoop platforms and related 'big data' technologies is preferred.
  • Health insurance coverage
  • Dental insurance coverage
  • 401k benefit for retirement savings plan
  • Paid holidays
  • Flexible scheduling
  • Professional development opportunities
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