AI Catalyst & Design Intelligence Manager

BioSpace

South San Francisco (CA)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
401(k)

Job summary

AbbVie is seeking a Manager, Design Intelligence & AI Catalyst to build, deploy, and maintain M&S and AI solutions that augment data decision-making. You will work within the DAIA team to develop prioritized use cases using R, dashboards, and agentic AI frameworks, collaborating with stakeholders to produce production-ready tools and robust benchmarks.

Qualifications include a Master’s with 5–7 years or PhD with 2+ years in statistics or data science, strong R skills, and experience with

Qualifications

  • Master’s degree in Statistics, Data Science, CS or related field with 5–7 years experience or PhD with 2+ years.
  • Strong hands-on development experience in R and interactive dashboards.
  • Experience with agentic AI development and orchestration frameworks.

Responsibilities

  • Develop and maintain M&S and AI solutions across prioritized use cases.
  • Build user-friendly tools and dashboards addressing end-user needs.
  • Assess feasibility and document design rationale for deterministic vs AI-enabled approaches.
  • Create benchmark test sets to ensure accuracy and reproducibility.
  • Iterate on deployed tools from stakeholder feedback and evolving needs.
  • Translate requirements into production-ready solutions through collaboration.

Skills

R
Dashboard development
Agentic AI development
Statistical knowledge
Communication skills

Education

Master’s degree in Statistics/Data Science/CS
PhD in Statistics/Data Science/CS

Tools

R packages
Shiny
CI/CD tooling

Job description

AbbVie is seeking a Manager, Design Intelligence & AI Catalyst to build, deploy, and maintain M&S and AI solutions that augment data decision-making. You will work within the DAIA team to develop prioritized use cases using R, dashboards, and agentic AI frameworks, collaborating with stakeholders to produce production-ready tools and robust benchmarks.

Qualifications include a Master’s with 5–7 years or PhD with 2+ years in statistics or data science, strong R skills, and experience with

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