Senior Research Statistician, Exploratory Analysis

AbbVie

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irvine, CA
Salary
$96,500–$183,500 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 7, 2126

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $140k
$84k $217k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $132,958–$192,625 — the blue band above. At the midpoint, this role pays about $140k versus about $163k 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 156 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 146 roles with salary data.

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At a glance

TL;DR · Senior Research Statistician, Exploratory Analysis

JOB TITLE: Senior Research Statistician - Exploratory Analysis (Hybrid) The Senior Research Statistician provides statistical support to research and development organizations for drug discovery, target identification, and clinical biomarker exploration. Working under supervision, the role supports discovery researchers, translational scientists, and clinicians in designing, collecting, analyzing, and reporting multi-dimensional biomarker data from early to late-stage clinical development. Key responsibilities include contributing to biomarker-based clinical trials, identifying markers for disease progression, and developing companion diagnostic tests. The position requires integrating high-dimensional data from omics and imaging sources to enable precision medicine. Required skills include a Master’s or PhD in Statistics or Biostatistics, research experience in pharma or healthcare, and Machine Learning expertise. Candidates must be proficient in predictive modeling, cross-validation, and random resampling techniques to ensure scientifically sound data presentation and inference.

What you'll do

  • Design, analyze, and report biomarker and assay studies for early and late-phase clinical trials.
  • Develop biomarker sections of clinical trial protocols and biomarker analysis plans.
  • Identify markers and signatures from omics, imaging, and other biomarker data for target identification and patient stratification.
  • Perform statistical analyses for in vitro, in vivo pharmacology studies, and human clinical trials.
  • Evaluate software appropriateness and propose novel statistical methodologies for scientific investigations.
  • Present data inferences and explain complex statistical concepts to non-statisticians.
  • Integrate high-dimensional data using machine learning, cross-validation, and multiple testing control methods.
  • Ensure all study results and conclusions are scientifically sound and consistent with statistical analyses.

What we're looking for

  • MS with 4+ years of experience or a PhD in Statistics, Biostatistics, or a highly related field.
  • Research experience in the pharma or healthcare space.
  • Experience with Machine Learning.
  • Experience with Biomarker Research (preferred).
  • High degree of technical competence and effective communication skills, both oral and written.
  • Ability to identify data or analytical issues and provide solutions or seek help from others.
  • Ability to build strong relationships with peers and cross-functional collaborators to achieve higher performance.
  • Ability to integrate high dimensional data and familiarity with overfitting, multiple testing control, and predictive modeling methods.

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