Senior Research Statistician - Statistical Innovation (Hybrid)

AbbVie Inc.; Florham Park (NJ); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

AbbVie Inc. is seeking a Senior Research Statistician to provide scientific and statistical leadership in designing innovative clinical trials and to develop and deploy advanced analytical modeling and simulations.

You will drive the use of novel statistical methods and tools, collaborating with cross-functional teams to advance drug development and publish findings in peer-reviewed venues.

Formación

• PhD in Statistics, Biostatistics or a closely 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 SAS and R.

Responsabilidades

• Lead development and evaluation of novel statistical approaches.
• Investigate complex innovative designs using modeling and simulations.
• Apply advanced statistical methods (e.g., adaptive designs, Bayesian methods).
• Develop and deploy statistical and deep learning tools to operationalize methodologies.
• Collaborate with cross-functional teams and external stakeholders.

Conocimientos

Statistical modeling

SAS

R

Python

Team leadership

Communication

Educación

PhD in Statistics/Biostatistics

Herramientas

SAS

R

Python

Julia

Descripción del empleo

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.

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.

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

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

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable 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: https://www.abbvie.com/join-us/reasonable-accommodations.html