Associate Scientist, Data II
Listed on 2026-07-26
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst, Data Scientist
About Abb Vie
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 including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.
CompanyDescription
About Abb Vie 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 including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.
Job DescriptionWe are seeking an experienced AI Data Scientist II to join our innovative FAiM Team at Abb Vie Pharmaceuticals. This position is an opportunity to join a team and work at the intersection of machine learning and artificial intelligence within the Global Therapeutics space 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 and development leadership with clinical science knowledge to create 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 as a development lead. 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 to include technical timelines and planning.
- Lead multiple concurrent projects while maintaining exceptional quality standards.
- Translate complex technical concepts into accessible insights for non-technical stakeholders.
- Build and maintain relationships with internalteamsand external vendors to stay informed on AI trends and best practices.
- 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.
Required:
- Bachelor’s Degree in Computer Science, Data Science, or related technical field with 2 years' experience; or Master’s Degree 0 years' 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 Knowledge Graphs and associated Python packages
- Experience building applications on AWS infrastructure specifically ECS
- Excellent written and oral communication skills.
- Proven ability to manage multiple projects simultaneously
Preferred:
- Master’s degree preferred
- 5 years' experience preferred
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