About AbbVie
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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job DescriptionThis position is responsible for designing, planning, and executing statistical components of plans for research studies that prove the economic value of pharmaceutical assets. Position uses sound statistical methodology to conduct studies, develops/or applies statistical theories, methods, and applies technical programming skills and experience to analyze clinical, survey and claims databases.
•Use SAS software to execute medical claims, electronic medical claims, survey, and clinical database studies.
•Perform QC analyses of other SAS Scientists studies and confirm accuracy of the derived data in the analytical database
•Responsible for statistical component of reports describing studies, outcomes and methods used and provide specifications and directors to the HEOR researchers. Present results of studies through spreadsheets / graphics
•Create analytical databases from raw databases. Independently identify appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR
•Contribute to the writing and publishing of scientific presentations. Support clinical trial endpoint strategies by executing statistical analysis plans
•Under general direction, design, implement, and maintain complex databases with respect to access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods.
•Monitor scientific, regulatory and reimbursement / access trends, events and policies for their potential to affect current research responsibilities
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- •Master’s degree in Statistics / Mathematics or related discipline required however, PhD is preferred. Professional training in the health field is a plus.
•Minimum of 5 years’ experience in SAS, SAS Macro and SQL programming required. Ability to incorporate production code macros in studies required.
•Experience in analysis of large medical claims datasets preferred. Prior experience in the UNIX environment is a plus
•Ability to execute programming assignment and problem solve issues independently.
•Ability to poresent complex research and data clearly to stakeholders
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 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
Skills Required
- Master's degree in Statistics, Mathematics, or related discipline
- PhD in relevant field
- Minimum of 5 years experience in SAS, SAS Macro, and SQL programming
- Ability to incorporate production code macros into studies
- Experience analyzing large medical claims datasets
- Prior experience in a UNIX environment
- Ability to execute programming assignments and independently solve issues
- Ability to present complex research and data clearly to stakeholders
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — 401(k) contributions include a dollar-for-dollar match up to 6% plus an additional annual company contribution tied to age and service. Company-paid life insurance and other financial protections further strengthen long-term security.
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Parental & Family Support — Paid leave programs include up to 12 weeks at 100% for parental leave and separate paid caregiver leave, with eligibility after six months where noted. Adoption and surrogacy reimbursements and family-building resources add further support.
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Healthcare Strength — Health coverage begins on day one with medical, dental, vision, mental health, and prescription benefits, and preventive care covered at 100%. Options such as HSAs/FSAs and coverage for spouses/domestic partners and children up to age 26 broaden accessibility.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.

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