Senior Research Statistician - Safety Statistics Group (Hybrid)

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 Safety Statistics Group (SSG) at AbbVie is an important strategic part of Data and Statistical Sciences (DSS).  Safety Statisticians are part of collaborative, cross functional teams including members from Pharmacovigilance and Patient Safety (e.g, product safety team physicians, epidemiologists, safety analysts), Statistical Programming, Clinical Statistics, Regulatory Affairs, and Medical Writing.  Safety Statisticians work on products in the AbbVie portfolio ranging from early to later stages of development and life cycle management, with a focus on evaluation, interpretation, and reporting of aggregate/integrated safety data, including benefit risk planning and assessment.

AbbVie is seeking a statistician to join our growing Safety Statistics team.  The Senior Research Statistician in the Safety Statistics Group will work collaboratively with senior-level statisticians in supporting one or more Product Safety Teams (PSTs).  

Key Responsibilities:

• Contribute to the development of Product Safety Statistical Analysis Plans and Integrated Summary of Safety Statistical Analysis Plans.
• Contribute to the development of safety data integration specifications in accordance with analysis plan.
• Contribute to benefit-risk planning and assessment.
• Contribute to the development, delivery and interpretation of safety outputs, including graphics.
  • Contribute to cross-functional development of output specifications to address both pre-planned safety analyses and ad hoc requests.
  • Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines.
  • Ensure appropriate interpretation of safety deliverables in collaboration with other functions.
• Collaborate within SSG to implement strategic initiatives that address processes related to interpreting, monitoring, assessing, and reporting safety data to better characterize the safety profile of AbbVie products, improve efficiencies, and provide greater consistency across therapeutic areas.
• Stay current with industry trends and practices related to safety.

Qualifications

Minimum Qualifications:

• MS (with at least 4 years of relevant experience) or PhD in Statistics, Biostatistics, or a highly related field
• Experience in clinical trial setting and doing submissions
• Experience with safety data
• SAS Programming Experience
• High degree of competence in experimental design, descriptive and inferential statistics, and statistical programming

Preferred Qualifications:

• Simulation experience
• Experience programming in R
• R Shiny Experience 

Key Leadership Competencies:

• Builds strong relationships with peers and cross functionality with partners outside of team to enable higher performance
• Learns fast, grasps the ‘essence’ and can change the course quickly where indicated
• Raises the bar and is never satisfied with the status quo
• Creates a learning environment, open to suggestions and experimentation for improvement
• Embraces the ideas of others, nurtures and manages innovation to reality
• Good oral and written English communication skills

Additional Information

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 p