Senior Statistician, Statistical Innovation

AbbVie

North Chicago (IL)

On-site

USD 130,000 - 190,000

Full time

8 hours ago
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Benefits offered by this job

Medical/dental/vision insurance
401(k) with company match
Paid time off and short-term incentive

Job summary

AbbVie is seeking a Senior Research Statistician in Statistical Innovation to provide scientific and statistical leadership for innovative clinical trial design and advanced modeling across development programs. The role emphasizes evaluating new approaches and deploying simulations to drive methodological advances.

The candidate will apply skills in R, SAS, Python, and related tools, collaborating with cross-functional teams, contributing to publications, and helping translate statistical

Qualifications

  • PhD in Statistics, Biostatistics or related field.
  • Advanced knowledge of statistical modeling & drug development understanding.
  • Experience in statistical computing & simulations.
  • Proven expertise in SAS and R.

Responsibilities

  • Lead evaluation and education of novel statistical or ML/DL approaches.
  • Investigate complex innovative designs using modeling and simulations.
  • Apply emerging statistical methods (e.g., Bayesian methods, adaptive designs).
  • Develop and rollout statistical tools to operationalize methodologies.
  • Present and publish to influence the field.
  • Collaborate with cross-functional teams and leadership.

Skills

Collaboration & cross-functional work
Communication skills
Statistical thinking
Problem solving

Education

PhD in Statistics/Biostatistics or related field

Tools

SAS
R
Python

Job description

AbbVie is seeking a Senior Research Statistician in Statistical Innovation to provide scientific and statistical leadership for innovative clinical trial design and advanced modeling across development programs. The role emphasizes evaluating new approaches and deploying simulations to drive methodological advances.

The candidate will apply skills in R, SAS, Python, and related tools, collaborating with cross-functional teams, contributing to publications, and helping translate statistical

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