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

We are seeking an experienced AI Data Scientist II to join our innovative Fusion Team at AbbVie Pharmaceuticals. This position is an opportunity for an early career candidate to join a team and work at the intersection of machine learning and artificial intelligence within the Global Therapeutics space at AbbVie. In this role, you will leverage cutting-edge AI technologies to transform our clinical data operations and drive pharmaceutical innovation. The ideal candidate will combine strong technical expertise with clinical science knowledge to develop solutions that accelerate drug discovery and improve patient outcomes.

This role will work collaboratively with technology and business groups to perform analyses and implement technologies to deliver precise, reliable, and reproducible solutions in a timely manner, under the direction of a more senior leader. Also, this role will need to demonstrate technical precision and strong data science skills.

Responsibilities

• Design, develop, and deploy AI-driven solutions to solve complex clinical and pharmaceutical challenges
• Develop and maintain backend systems using FastAPI for robust data processing pipelines
• Develop automations utilizing robotic process automation
• Collaborate with cross-functional teams including clinical scientists, IT, and business stakeholders
• Lead multiple concurrent projects while maintaining exceptional quality standards
• Translate complex technical concepts into accessible insights for non-technical stakeholders
• Stay current with emerging AI technologies and methodologies relevant to pharmaceutical research
• Independently design and develop business technology solutions to answer scientific or business questions through integration, visualization, and analysis of data. Demonstrate proficiency across a range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets.
• Demonstrate knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
• Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.

Qualifications

• Master's degree in Computer Science, Data Science, or related technical field or 3 years of experience
• Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts
• Hands-on experience using large language models and machine learning algorithms
• Strong programming skills in Python with emphasis on data science libraries
• Backend development experience using FastAPI
• Experience with Robotic Process Automation and associated Python packages
• Experience building applications on AWS infrastructure
• Excellent written and oral communication skills.

Additional Information

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.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

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

AbbVie’s mission is to discover and deliver innovative medicines 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, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio.