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AbbVie Manager / Senior Manager, Exploratory Statistics (On-Site, IL Based) in North Chicago, Illinois

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

Purpose:

The Senior Manager, Statistics provides statistical leadership to support the research and development organizations for drug discovery, target identification/verification, non-clinical and clinical biomarker exploration to characterize subgroups of patients or markers of disease progression and treatment response for precision medicine. The senior manager works independently in partnership with discovery researchers, translational scientists and clinicians in the design, collection, analysis and reporting of multi-dimensional biomarker data from Discovery to late stage clinical development to enable objective decision-making for each drug development program.

Description:

  • Provide statistical leadership in partnership with translational biomarker scientists and clinicians in the design, analysis and reporting of biomarker and assay studies in association with clinical trials, including pharmacodynamic/safety biomarker analyses, prognostic/predictive biomarker identification and development, bioassay and companion diagnostic test development, patient subgroup identification based on biomarkers and clinical variables. Support biomarker related responses during regulatory interactions and biomarker related product life-cycle management strategy planning and implementation

  • Drive for scientific excellence in designing, analyzing and reporting of biomarker-based clinical trials or other scientific research studies. Independently developing biomarker section of clinical trial protocols or biomarker analysis plans. Work independently to implement sound statistical methodology in scientific investigations.

  • Providing statistical leadership in partnership with scientists in discovery and translational science units in the design, analysis and reporting of in vitro, in vivo pharmacology studies, and human clinical trials. Identify markers and signatures from internal/external omics/imaging and other biomarker data for target identification, mechanism of action, resistant mechanism, disease progression, patient selection and stratification for precision medicine.

  • Full accountability for data collection/integrity, and statistical analyses as per the biomarker analysis plan. Identifying and anticipating issues arising in the study design; conducting and proposing scientifically sound approaches. Evaluating appropriateness of available software for planned analyses and assessing needs for potential development of novel statistical methodology.

  • Improving data presentation and inference with additional statistical and business insights. Collaborating in publication of scientific research. Ensuring that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided. Clearly explaining statistical concepts, enabling non-statisticians and biomarker collaborators to use existing tools and interpret results better.

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hr day) is required

Qualifications

This position can be hired at the Manager or Sr. Manager level. Level is determined by years of relevant experience and education

Qualifications for Sr. Manager:

  • MS (with 8+ years of experience) or PhD (with 4+ years of experience) in Statistics, Biostatistics, or a highly related field, with some applied consulting or research experience on topics related to pharmaceutical research, bioinformatics, target identification, biomarkers, and subgroup identification.

  • High degree of technical competence and effective 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 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 desired, including experience and understanding of drug development and life-cycle management in the regulated environment.

  • Able to integrate high dimensional data from different sources. Familiar with overfitting and multiple testing control methods, such as cross-validation and random resampling techniques. Familiar with machine learning and predictive modeling methods.

Qualifications for Manager:

  • MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field, with some applied consulting or research experience on topics related to pharmaceutical research, bioinformatics, target identification, biomarkers, and subgroup identification.

  • High degree of technical competence and effective 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 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

  • Able to integrate high dimensional data from different sources. Familiar with overfitting and multiple testing control methods, such as cross-validation and random resampling techniques. Familiar with machine learning and predictive modeling methods.

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 committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s 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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