Senior Research Statistician, Statistical Innovation

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Florham Park, NJ
Salary
$96,500–$183,500 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Oct 22, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k
This role $140k
$83k $223k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $139,512–$195,379 — the blue band above. At the midpoint, this role pays about $140k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 154 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 149 roles with salary data.

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View all roles at AbbVie

At a glance

TL;DR · Senior Research Statistician, Statistical Innovation

The Senior Research Statistician in Statistical Innovation provides scientific and statistical leadership to support initiatives for designing innovative clinical trials. This role involves evaluating, developing, and deploying advanced analytical modeling and simulations to drive statistical innovation within Clinical Development. The successful candidate will investigate complex innovative designs, create breakthrough ideas in modeling, and operationalize key methodologies. Key responsibilities include educating others on novel machine learning and deep learning approaches while building an external reputation through peer-reviewed publications. Required technical skills include proficiency in R, R-shiny, Python, Julia, and SAS, alongside expertise in statistical computing and simulation. The role specifically addresses the pharmaceutical development process by applying advanced methods such as adaptive designs, Bayesian methods, synthetic control, and predictive modeling to solve real-world problems.

What you'll do

  • Evaluate, develop, and deploy advanced statistical and machine learning models for clinical development.
  • Support the introduction and education of novel statistical and deep learning approaches.
  • Investigate complex innovative designs and analysis options using scientific computing and simulations.
  • Implement new approaches and breakthrough ideas in modeling and simulations to solve real-world problems.
  • Develop and roll out statistical tools and techniques using R, R-shiny, Python, or Julia.
  • Build an external reputation by authoring peer-reviewed publications and presenting at industry meetings.
  • Provide scientific leadership to support the design of innovative clinical trials.

What we're looking for

  • PhD in Statistics, Biostatistics, or a highly related field.
  • Advanced knowledge of statistical modeling, methodology, and the drug development process.
  • Demonstrated experience in advanced statistical computing and simulation skills.
  • Proven expertise in standard software such as SAS and R.
  • Experience in pharmaceutical development and applied statistics or statistical consulting (preferred).
  • Expertise in specialized statistical software such as FACTS or EAST (preferred).
  • Proven ability to collaborate and consult with discipline experts and leaders across functions.
  • Excellent oral and written communication, teamwork, and leadership skills.

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