Senior Research Statistician - Statistical Innovation (Hybrid)

Allergan; Florham Park (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

AbbVie, a leader in biopharmaceuticals, seeks a Senior Research Statistician to provide scientific and statistical leadership for innovative clinical trial design and advanced modeling. The role drives statistical innovation and the deployment of novel analytical methods across development programs.

The candidate will apply expertise in R/SAS, Python, and modern modeling techniques, collaborating with cross-functional teams to deliver impactful solutions and publish findings.

Qualifications

• PhD in Statistics or Biostatistics or a highly related field.
• Advanced knowledge of statistical modeling and methodology and good understanding of drug development process.
• Demonstrated experience in advanced statistical computing & simulation skills.
• Proven expertise in standard (e.g. SAS, R)

Responsibilities

• Evaluate and introduce novel statistical and machine learning approaches.
• Investigate complex innovative designs using modeling and simulations.
• Stay updated on advanced statistical methods (e.g., Bayesian, adaptive designs).
• Collaborate to develop and deploy statistical tools and simulations.

Skills

Statistical innovation

Collaboration

Communication

Leadership

Education

PhD in Statistics/Biostatistics

Tools

SAS

R

Python

R-shiny

Julia

FACTS

EAST

Job description

Company Description

About AbbVie

AbbVie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Research Statistician in Statistical Innovation is responsible for providing scientific and statistical leadership to support initiatives on designing innovative clinical trials and to evaluate, develop and deploy advanced and novel statistical/analytical modeling and simulations to drive statistical innovation modeling and simulation in Clinical Development.

Responsibilities:

• Actively supports in the evaluation, introduction, development and education of novel statistical and/or machine learning/deep learning approaches.
• Demonstrates extensive competence in investigating/evaluating complex innovative designs and analysis options using scientific computing, modeling and simulations.
• Demonstrates extended understanding and actively seeks to acquire new knowledge in advanced and emerging statistical methods (e.g. Adaptive designs, Bayesian methods, synthetic control, predictive modeling etc.).
• Applies imagination. Creates, invents, and implements new or better approaches, alternatives, and breakthrough ideas in modeling and simulations.
• Demonstrates ability to apply statistical knowledge to solve real-world problems. Demonstrates the ability to evaluate alternative statistical and machine learning approaches.
• Shows proficiency in development, implementation, and rollout of statistical and deep learning tools and techniques (e.g. using R, R-shiny, Python, Julia, etc.) to operationalize key innovative methodologies.
• Builds and maintains external reputation and influences industry with presentations, attending industry meetings, or authoring articles for peer-reviewed publications.

Qualifications

Minimum Qualifications

• PhD in Statistics, Biostatistics or a highly related field.
• Advanced knowledge of statistical modeling and methodology and good understanding of drug development process.
• Demonstrated experience in advanced statistical computing & simulation skills.
• Proven expertise in standard (e.g. SAS, R)

Preferred Qualifications:

• Experience in pharmaceutical development and applied statistics/statistical consulting preferred.
• Expertise in specialized statistical software (e.g., FACTS, EAST, etc.) is preferred.

Other Required Skills:

• Proven ability to collaborate and consult with discipline experts and leaders within and across function.
• Excellent communication skills, both oral and written
• Excellent teamwork and leadership skills
• Passionate about statistical innovation and always think out of the box and is never satisfied with status quo

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeofthis posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographiclocation,andwemay ultimately pay more or less than the posted range. This range may bemodified in thefuture.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

• This job is eligible toparticipate in our short-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.Theamountandavailabilityof anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremains in the Company'ssoleandabsolutediscretion unless and until paid andmay bemodified at the Company’s sole and absolute discretion, consistent withapplicable law.

AbbVie 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 https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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