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. 

Position based in Mexico.

Role Overview

A Senior Statistical Analyst is responsible for statistical analysis and reporting activities in support of clinical trials and research studies. Key responsibilities include programming and validating statistical analyses, generating tables, listings, and figures, performing quality control checks while staying up to date with the knowledge of industry best practices and GxP requirements. A close collaboration is required with the study team members; especially, with Statistics and Data Management.  The ideal candidate should possess a Bachelor's or Master's degree in a quantitative field, proficiency in programming languages commonly used in statistical programming, strong attention to detail and problem-solving skills, proficiency in using statistical software and programming tools, and effective communication skills. Applicable work experience of 6-8 years in pharmaceutical, biotechnology, or clinical research industry is required.

Key Responsibilities

1. Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP).  Implement Statistical Analysis Plans (SAP) and SPP to create ADaM data specifications.
2. Program and validate ADaM and statistical analyses using programming languages (e.g., SAS, R), ensuring adherence to established standards and guidelines.
3. Generate tables, listings, and figures (TLFs) for clinical study reports, safety reports, and other deliverables, ensuring accuracy, consistency, and adherence to regulatory requirements.
4. Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans.
5. Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards.
6. Collaborate with cross-functional teams to support ad hoc data analyses, data visualization, and exploratory analyses as needed.
7. Ability to lead the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks.
8. Stay updated with industry best practices, regulatory guidelines, and emerging technologies in statistical programming and data analysis.
9. Lead the planning and execution of statistical programming-related audits, inspections, and regulatory submissions, ensuring compliance with relevant regulations and guidelines.
10. Collaborate with statisticians and study teams to provide programming support, address data-related queries, and contribute to study-related publications.

1. Master's degree with 6+ years of experience or Bachelor’s degree with 8+ years of experience in statistics, computer science, engineering, or a related field.
2. Understanding of statistical methods, data analysis techniques, and clinical research processes.
3. Proficiency in programming languages commonly used in statistical programming, such as SAS or R. 
4. Knowledge of CDISC standards.
5. In-depth understating of drug development process with emphasis on clinical study life cycle.
6. Familiarity clinical study protocols, statistical analysis plans (SAPs), tables, listings, and figures (TLFs), and statistical programming documentation.
7. Experience in generating TLFs, programming macros, and data manipulation using SAS or other statistical programming languages.  Experience working on cross-study, integrated data analyses.
8. Strong attention to detail and problem-solving skills, with the ability to identify and troubleshoot programming issues.
9. Proficiency in using statistical software and programming tools, such as SAS, R, and SQL.
10. Effective communication skills, both written and verbal, with the ability to interact professionally with statisticians, study teams, and external partners.
11. Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines.
12. Experience in statistical programming or clinical research, either through internships, academic research projects, or previous employment, is a plus.

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.

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