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.

Senior Manager, Medical Monitoring Analytics, Oncology, AbbVie Inc., North Chicago, IL: Hybrid (3 days in office & 2 days remote).

Key Responsibilities

• Support Oncology Medical & Scientific Director adoption of advanced technologies & processes for enterprise data analytics across diverse sources - Influencing medical oncology stakeholders to maximize data & analytics value.
• Mentor, guide, & supervise junior staff & contractors.
• Lead development & validation of innovative algorithms using advanced analytics & AI/ML.
• Oversee analytically & clinically complex cross-functional R&D Clinical Development projects to drive data-informed decisions.
• Represent Medical & Safety Analytics team at key regulatory, compliance, & governance meetings as a subject matter expert in oncology medical analytics.
• Supervise resource allocation to ensure consistent analytics support & timely delivery of analytics solutions. 
• Ensure compliance with regulations, GCPs, ICH guidelines, SOPs, & stay up to date with relevant global regulatory policies.

Education & Experience

Must have a MS in statistics, mathematics, analytics, bioinformatics, data science or equivalent field, & 2 years applying data science analytics techniques in pharma industry.

Of experience required, must have 2 years:

1. coding using R & Python;
2. performing statistical & data mining techniques;
3. building statistical visualizations tools in Spotfire, Tableau & MS PowerBI; &
4. using pharma full lifecycle domain knowledge as an analytic consultant for cross functional teams.

Alternatively, would accept a BS in statistics, mathematics, analytics, bioinformatics, data science or equivalent field, & 5 years applying data science analytics techniques in pharma industry.

Of experience required, must have 5 years:

1. coding using R & Python;
2. performing statistical & data mining techniques;
3. building statistical visualizations tools in Spotfire, Tableau & MS PowerBI; &
4. using pharma full lifecycle domain knowledge as an analytic consultant for cross functional teams.

With either alternative, must have 1 year (i) performing project management & (ii) leading a team or cross functional initiative.

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

Salary Range: $202,779 - $236,500 per year.

Apply online at https://careers.abbvie.com/en or send resume to [email protected]. Refer to Req ID: REF49883R

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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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https://www.abbvie.com/join-us/reasonable-accommodations.html