Senior Manager, Medical Monitoring Analytics; Oncology
Listed on 2025-11-04
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IT/Tech
Data Science Manager, Data Analyst
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Company Description
Abb Vie'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 Abb Vie, please visit us Follow @abbvie onX,Facebook,Instagram,You Tube,Linked Inand Tik Tok.
Company Description
Abb Vie'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 Abb Vie, please visit us Follow @abbvie onX,Facebook,Instagram,You Tube,Linked Inand Tik Tok.
Job Description
Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, Machine Learning and AI expertise that seeks to unleash the full potential of Abb Vies data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.
The Sr. Manager, Medical Monitoring Analytics is a data science project leadership role and is responsible for helping cross-functional partners identify and prioritize sophisticated analytics solutions to create value and impact for clinical trial medical monitoring. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems. Ensures consistency in analysis techniques and delivery. Accountable for gathering cross-functional input into the development of Advanced Analytics capabilities and ensures follow-through via robust project management and stakeholder engagement.
This position will not have people management responsibilities.
Roles And Responsibilities
- Support the implementation of next generation technology and process to enable enterprise data analytics on pace with emerging integrated data sources (biomarker/translational, big data, digital sources, real world data, pharmacovigilance data, clinical trial data)
- Responsible for coaching and mentoring junior team members. May include indirect supervision of employee and contract staff
- Drive the definition, design, implementation and validation of cutting-edge algorithms to analyze disparate data sources to achieve targeted outcomes by leveraging advanced analytics, machine-learning and/or Artificial Intelligence approaches, predictive and statistical modeling concepts, clustering and classification techniques
- Leads cross-functional initiatives with matrixed teams;
Connects with cross-functional leadership and enables analytics capabilities to drive data-driven operations and decision making - Influences the cross-functional stakeholders to identify opportunities to unleash the full-potential of data and analytics
- Represents the functional area at critical governance, quality and compliance, and regulatory meetings
- Ensures consistent analytics support through effective resource management, prioritization, and timeline management.
- Fosters innovation and entrepreneurial culture within the team that attracts and retains top talent;
Creates an environment of continuous learning - Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, Abb Vie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- This position will be required to sit on-site 3 days / week int he Lake County area*
- Bachelors degree statistics, analytics, bioinformatics, data science or equivalent field. Masters degree preferred
- Must have 4-6+ years of experience with enabling novel analytics capabilities across business areas with 1-2 years of experience leading a team or cross functional initiatives
- Intermediate-level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
- Intermediate proficiency with visualization tools like Spotfire, Tableau or equivalent
- Demonstrated expertise in Oncology clinical trials conduct and trial execution. Ability to apply domain knowledge to effectively collaborate with cross-functional…
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