AbbVie
Senior Manager, HEOR RWE Analytics
AbbVie, Libertyville, Illinois, United States, 60092
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:
Role is responsible for designing and executing analytical components of plans for research studies that examine the real-world value of pharmaceutical assets or address strategic questions in the disease areas of interest to AbbVie. Position applies methodological and analytical expertise to conduct the analysis of V&E research studies. This involves the application of real-world evidence study design, statistical theories, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases. he/she is expected to act as point of contact for the assigned therapeutic area (TA) on RWE analytics needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
Responsibilities:
He/she is expected to be the point of contact for the assigned therapeutic area (TA) or product/indications to manage analytics activities on multiple assigned projects/studies focusing on RWE analyses from large databases (e.g., medical claims, EMR/EHR, registries, etc.) across various therapeutic areas
Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the HEOR researchers
Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR
Supporting clinical trial PRO endpoint strategies by executing statistical analysis plans and providing consultation to design as needed; Apply knowledge of analytical programming to develop and validate statistical tables, data listings, figures, and derived datasets for clinical trials data according to SAP and other specifications
Presenting results of studies and contribute to the writing and publishing of scientific presentations
Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintain effective cross-functional working relationships to assure effective teamwork and problem solving within the analytics team
Interactions with HEOR Strategy scientists and other relevant stakeholders regarding studies design and execution and with other members of the RWE analytics team or other external CRO's to perform QC activities on research studies
Qualifications:
Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
Minimum of 3 years’ working experience with Master’s, 2 years with PhD (can include fellowship experience)
Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
Minimum of 3 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g. python) for real world evidence analytics
Ability to contribute to study design and development of study protocols
Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
Experience in clinical trial PRO (Patient-reported outcome) analysis is highly preferred
Experience and/or training in the application of advanced scientific and analytical methods
Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
Qualifications
Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
Minimum of 3 years’ working experience with Master’s, 2 years with PhD (can include fellowship experience)
Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
Minimum of 3 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g. python) for real world evidence analytics
Ability to contribute to study design and development of study protocols
Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
Experience in clinical trial PRO (Patient-reported outcome) analysis is highly preferred
Experience and/or training in the application of advanced scientific and analytical methods
Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
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, 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.
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
Salary: $117,500 - $223,500
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:
Role is responsible for designing and executing analytical components of plans for research studies that examine the real-world value of pharmaceutical assets or address strategic questions in the disease areas of interest to AbbVie. Position applies methodological and analytical expertise to conduct the analysis of V&E research studies. This involves the application of real-world evidence study design, statistical theories, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases. he/she is expected to act as point of contact for the assigned therapeutic area (TA) on RWE analytics needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
Responsibilities:
He/she is expected to be the point of contact for the assigned therapeutic area (TA) or product/indications to manage analytics activities on multiple assigned projects/studies focusing on RWE analyses from large databases (e.g., medical claims, EMR/EHR, registries, etc.) across various therapeutic areas
Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the HEOR researchers
Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR
Supporting clinical trial PRO endpoint strategies by executing statistical analysis plans and providing consultation to design as needed; Apply knowledge of analytical programming to develop and validate statistical tables, data listings, figures, and derived datasets for clinical trials data according to SAP and other specifications
Presenting results of studies and contribute to the writing and publishing of scientific presentations
Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintain effective cross-functional working relationships to assure effective teamwork and problem solving within the analytics team
Interactions with HEOR Strategy scientists and other relevant stakeholders regarding studies design and execution and with other members of the RWE analytics team or other external CRO's to perform QC activities on research studies
Qualifications:
Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
Minimum of 3 years’ working experience with Master’s, 2 years with PhD (can include fellowship experience)
Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
Minimum of 3 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g. python) for real world evidence analytics
Ability to contribute to study design and development of study protocols
Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
Experience in clinical trial PRO (Patient-reported outcome) analysis is highly preferred
Experience and/or training in the application of advanced scientific and analytical methods
Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
Qualifications
Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
Minimum of 3 years’ working experience with Master’s, 2 years with PhD (can include fellowship experience)
Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
Minimum of 3 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g. python) for real world evidence analytics
Ability to contribute to study design and development of study protocols
Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
Experience in clinical trial PRO (Patient-reported outcome) analysis is highly preferred
Experience and/or training in the application of advanced scientific and analytical methods
Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
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, 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.
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
Salary: $117,500 - $223,500