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Overview
Company
AbbVie is committed to discovering and delivering innovative medicines and solutions that address serious health issues today and tomorrow. We aim to have a meaningful impact across key therapeutic areas including immunology, oncology, neuroscience, and eye care, and in products and services within the Allergan Aesthetics portfolio. For more information about AbbVie, please visit www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn, and TikTok. Job Location
This is an on-site hybrid position. Candidates must be local to Lake County, IL or Florham Park, NJ. 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. Qualifications
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. This job is eligible to participate in our long-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
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Company
AbbVie is committed to discovering and delivering innovative medicines and solutions that address serious health issues today and tomorrow. We aim to have a meaningful impact across key therapeutic areas including immunology, oncology, neuroscience, and eye care, and in products and services within the Allergan Aesthetics portfolio. For more information about AbbVie, please visit www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn, and TikTok. Job Location
This is an on-site hybrid position. Candidates must be local to Lake County, IL or Florham Park, NJ. 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. Qualifications
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. This job is eligible to participate in our long-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
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