Associate Director, Statistics - CMC (Hybrid)
: Job Details :

Company Description

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 immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onTwitter,Facebook,Instagram,YouTubeandLinkedIn.

Job Description

Purpose:

The Associate Director in CMC Statistics is responsible for providing statistical support across a broad range in nonclinical areas with a focus on Chemistry, Manufacture and Control (CMC), expanding and broadening the application of Biostatistics. He/she is also responsible for helping the group head build the group infrastructure (e.g., developing SOPs) and mentor junior statisticians or interns.

Responsibilities:

• Apply statistical techniques to facilitate better decision-making and improve business operation.
• Regularly interact with management of different levels in strategy meetings. Contribute to strategic planning to ensure statistically optimized non-clinical development plans and assist in the creation of strategic objectives for regulatory filings.
• Participate in the planning/design, conduct, analysis, and interpretation of CMC studies and regulatory submissions. Participate in establishing departmental and nonclinical SOPs and guidelines. Develop statistical tools to streamline process development, QC testing and troubleshooting.
• Collaborate with colleagues from other departments to ensure compliance with regulations and help implement regulatory initiatives such as Quality by Design and process validation. Collaborate with external colleagues on consortia and other research projects relevant to nonclinical topics.
• Prepare statistical courses and provide training to scientists. Mentor junior staff, proactively help with both their technical and career development, and seek general feedback and technical input from colleagues.
• Develop and deliver statistical and scientific publications and present internally and externally.
• Collaborate with other statisticians in improving and sharing statistical approaches.
• Maintain and expand expertise in various computing tools to leverage internal and external data sets to drive decisions. Examples of such tools include R, Spotfire, SAS, etc. Continue development of various analysis tools to improve the process.
• Proactively seek input and review from other experts within and outside the group on various projects and research activities, and share technical information when appropriate. Proactively propose opportunities for productivity improvements and implementation plans.

Qualifications

*This position is required to sit on-site 3 days / week*

• MS (with 10+ years of experience) or PhD (with 6+ years of experience) in Statistics, Biostatistics, or a highly related field.
• High degree of technical competence and excellent communication skills, both oral and written
• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others
• Able to manage project timeline and quality of deliverables
• Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo
• Have strong leadership skills and experience in working/managing cross-cultural or oversea teams
• Pharmaceutical or related industry knowledge required, including experience and understanding of drug development and life-cycle management in the regulated environment.
• (SSG) Experience leading safety-related projects (eg, ISS, benefit-risk assessment, signal detection)
• (GMA Stat) Competence in experimental and RWE study design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming. Knowledge of methodologies for confounding control and bias minimization in observational studies preferred.

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 the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified 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 to participate in our short-term incentiveprograms.

• This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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