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Director, Statistics - Statistical Innovation; Office-based

Job in Florham Park, Morris County, New Jersey, 07932, USA
Listing for: BioSpace
Full Time position
Listed on 2026-01-12
Job specializations:
  • Healthcare
    Clinical Research
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Director, Statistics - Statistical Innovation (Office-based)

Director, Statistics - Statistical Innovation (Office-based)

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at

Job Description

Abb Vie's Statistical Innovation team provides strategic and quantitative consulting and simulations to solve complex and non-standard problems in clinical development. The Director, Statistical Innovation is responsible for providing scientific and statistical leadership to lead or collaborate with other functions on important clinical development and Data Statistical Sciences (DSS) initiatives and projects, especially those using advanced statistical methodology, advanced predictive modeling and Machine Learning (ML).

Role

Responsibilities
  • Lead and drive modeling and simulation capabilities in Abb Vie statistical innovation group
  • Leverage state‑of‑the‑art modeling and simulation techniques to propose, evaluate and optimize clinical trial designs in terms of time, cost and probability of success
  • Collaborate with study teams and other functions to proactively evaluate population feasibility, IC/EC impact, patient diversity and other operational insights at the design stage
  • Collaborate with study teams and other functions to proactively evaluate state‑of‑art scientific statistical designs using modeling and simulation
  • Collaborate with Clinical Pharmacology on QSP and MIDD related activities
  • Build and maintain external reputation and influences in the industry with presentations, invited talks and peer‑reviewed publications

Significant Work

Activities:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8‑hour day) is required.

Qualifications

As a qualified candidate, you hold a Ph.D. in statistics, biostatistics or related fields with at least 10 years of related work experience.

Experience & Skills
  • Excellent oral and written communication skills
  • Excellent leadership skills
  • Proven ability to collaborate and consult with discipline experts and leaders within and across functions
  • Passionate about modeling and simulation, innovation, always thinks out of the box and is never satisfied with the status quo
  • Strong publication records highly desired
  • Demonstrated expertise and experience in advanced statistical modeling and simulation
  • Proficiency in development, implementation and rollout of statistical tools and techniques using R, R‑shiny, Python, Julia etc. to operationalize key innovative methodologies
  • This role will work a hybrid work schedule from our North Chicago, IL, Florham Park, NJ or Irvine, CA offices
Key Stakeholders
  • Clinical development experts
  • Statistical programmers
  • Data science experts
  • Global Medical Affairs experts
  • Regulatory experts
Benefits
  • Comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees
  • Eligible to participate in short‑term and long‑term incentive programs

Abb Vie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only – to learn more, visit

US & Puerto Rico applicants seeking a reasonable accommodation,  to learn more:

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