Medical and Safety Clinical Data Scientist

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

A team of data scientists with a unique blend of Business, Scientific, and Machine Learning expertise who seek to:
Unleash the full potential al of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions
Broaden the scope and impact of Analytics and Data Science by constantly exploring new opportunities to transform clinical development and R&D
Collaborate with stakeholders to outline the problem, explore solutions, refine opportunities and deliver a product with a continuous innovation mindset

Responsibilities :

• For assigned projects, works with the cross-functional team to enable fit-for-purpose analytics solutions.
• Works with team to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized and follows the design principles and standards established by the team
• Leverages proven statistical methodologies and those methodologies established as standard by the team; in addition to leveraging proven statistical methodologies and standards established by the team, experiments and recommends additional techniques to solve business problems

Qualifications

*This position will be required to sit on-site 3 days / week*

• Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
• Must have 2-3 years of Data science and analytics-related experience. 
• Complete or Full / Career proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Inte