Senior Statistical Analyst (Eye Care | Aesthetics)

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Key Responsibilities

• Deliver statistical programming expertise for clinical studies with lower complexity.
• Ensure accurate data analysis, reporting, & adherence to regulatory standards.
• Develop SAS programs for generating ADaM datasets, tables, listings, & figures.
• Create specifications for ADaM datasets for individual & integrated analyses.
• Collaborate closely with crossfunctional teams to achieve project objectives.
• Prepare documentation for regulatory submissions, including reviewers guides & data definition documents.
• Lead development of standard SAS macros & participate in development of standard operating procedures.
• Provide supervision & mentorship to statistical programmers & analysts.

Qualifications

Education & Experience

Must have a MS in statistics, biostatistics, computer science, mechanical engineering or a related field & 2 years as a statistical analyst leading statistical programming activities for clinical studies.

Of experience required, must have 2 years:

1. applying SAS programming concepts & techniques related to drug development;
2. creating & validating ADaM datasets in compliance with CDISC/ADaM Standards;
3. providing statistical programming supporting for Phase I, II, & III clinical trials;
4. generating clinical outputs (tables, listings, & figures) with SAS; &
5. utilizing each of the following SAS tools: SAS/BASE, SAS/MACROS, SAS/SQL, SAS/GRAPH, & SAS/STAT.

Alternatively, would accept a BS in statistics, biostatistics, Computer science, mechanical engineering or a related field & 5 years as a statistical analyst leading statistical programming activities for clinical studies.

Of experience required, must have 5 years:

1. applying SAS programming concepts & techniques related to drug development;
2. creating & validating ADaM datasets in compliance with CDISC/ADaM Standards;
3. providing statistical programming supporting for Phase I, II, & III clinical trials;
4. generating clinical outputs (tables, listings, & figures) with SAS; &
5. utilizing each of the following SAS tools: SAS/BASE, SAS/MACROS, SAS/SQL, SAS/GRAPH, & SAS/STAT.

Work experience may be gained concurrently. Will accept reasonable combination of education, training & experience.

Additional Information

Salary Range: $146,467.84 - $183,500.00 per year.

Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49786C.

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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 and long-term incentive programs.

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.

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. 

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