AbbVie

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.. Medical Affairs and Health Technology Assessment (MA&HTA) Statistics is responsible for partnering with AbbVie MA and other corporate functions to provide expertise in biostatistics and mathematics.. + In collaboration with MA, Clinical Statistics, Data Sciences, Statistical Programming and other stakeholders to evaluate existing databases, both clinical studies and real-world databases, conduct feasibility assessment to identify fit-for-purpose data sources to address research questions, and develop detailed and actionable analysis plans for evidence generation to deliver high quality, patient-centric evidence and insights to drive decisions.. + MS (with at least 4 years of experience) or PhD in Statistics, Biostatistics, or a highly related field.. + Competence in experimental and RWE study design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming.

senior research statistician

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 at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description Description: Medical Affairs and Health Technology Assessment (MA&HTA) Statistics is responsible for partnering with AbbVie MA and other corporate functions to provide expertise in biostatistics and mathematics. The partnership is realized in the context of a cross-functional, product-oriented effort to provide statistical expertise and consultation for all key MA business activities, including but are not limited to MA research proposal reviews, strategic planning and input on TA strategies, real world evidence (RWE) study designs, real world database (RWD) research, scientific presentations and publications for all therapeutic areas, vendor oversight of study executions, RWE methodology research, and evidence evaluations and generations. In addition, this role may also support HTA supporting market access and reimbursement. Major Responsibilities: + Provide statistical expertise for design, analysis and reporting of clinical or other scientific research studies and contribute to development of modern program/trial design methodologies with a focus on RWE gathering, analysis and interpretation. Compliant with applicable corporate and divisional policies, procedures, and cultural values. + Assist with the development of scientific protocols including statistical analysis plan (SAP), ensuring they are scientifically sound, aligned with the product strategy, and meet scientific and/or applicable regulatory needs. Ensure statistical methodology is appropriate and sound, consistent with the objective(s) of the scientific investigations. + Demonstrate excellent understanding of statistical concepts and methodologies. Take a leadership role in introducing new/novel statistical methodological approaches into analysis plans which improve the efficiency and validity of study results. Be able to explain statistical concepts to non-statisticians. + Review identified or anticipated technical or data related issues arising in the design, conduct, and analysis of clinical trials and other scientific research. Assist with proposing and implementing alternative analysis strategies or other recommendations to address these issues. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology. + Maintain technical skills and increase own knowledge of new statistical methodology or areas of application through scientific literature and attendance at professional meetings. Present own statistical research or review of the statistical literature at meetings and seminars. Demonstrate a high degree of responsibility in maintaining Statistics department standards, GxP compliance, and best operating practices. + In collaboration with MA, Clinical Statistics, Data Sciences, Statistical Programming and other stakeholders to evaluate existing databases, both clinical studies and real-world databases, conduct feasibility assessment to identify fit-for-purpose data sources to address research questions, and develop detailed and actionable analysis plans for evidence generation to deliver high quality, patient-centric evidence and insights to drive decisions. + Ensure that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided. Ensure timely and quality statistical deliverables. Assist with addressing questions at management and/or product review meetings. Provide in-depth scientific/statistical review for scientific reports and publications. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality. + Support MA Statistics group in partnership with MA, Clinical Research and Clinical Statistics to develop scientifically appropriate strategies for evidence generation, including MA studies, presentations, and publications in assigned therapeutic area(s). Support MA Statistics to provide functional area input for life cycle management of products. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration. + Support HTA submissions. Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hr day) is required Qualifications This position will be required to sit on-site 3 days / week. + MS (with at least 4 years of experience) or PhD in Statistics, Biostatistics, or a highly related field. + High degree of technical competence and sound communication skills, both oral and written. + Experience in SAS and R preferred. + 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 desired. + 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 build strong relationships with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo. + Willing to learn new knowledge and technology, open-minded and adapting for improvement, enthusiastic about innovation and a self-starter to make possibilities real. + Learns fast, grasps the essence, and can change the course quickly where indicated. 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 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 a 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 Companys sole and absolute discretion, consistent with applicable law. AbbVie 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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