AbbVie is looking to solve serious health issues today and address the medical challenges of tomorrow by discovering and delivering innovative medicines and solutions, and the Biologics Analytical Research and Development organization needs to create and develop artificial intelligence (AI) and machine learning (ML) engines for pharmaceutical development projects.
Requirements
- Currently enrolled in university, pursuing a PhD in computer or data science (or other related field) with a focus on artificial intelligence, machine learning, computational linguistics, natural language processing, or equivalent.
- Familiarity with pharmaceutical development preferred.
- Demonstrated knowledge and experience in the application of artificial intelligence and machine learning in professional industries.
Responsibilities
- Evaluating various software configurations against pharmaceutical regulatory requirements to determine best options based on pre-established acceptance parameters.
- Classifying incoming information from different external sources into specific categories, providing meaningful summaries, and identifying the appropriate subject matter experts with automated communications.
- Designing a tool to screen and summarize available financial information and invoices of pre-defined work packages to generate an accurate estimate or prediction of costs for future work.
- Creating a dynamic tool to automate resource planning and work package projections to predict time and financial efficiencies, allowing real-time adjustment of resources, task re-prioritizations and/or outsourcing opportunities.
- Following a dynamic regulatory environment to maintain quality standards, where applicable.
- Effectively managing local and global interfaces across impacted stakeholders, including R&D and IT functions.
- Influencing mid- and long-term strategic focus areas while articulating new opportunities for AI/ML applications within the business.
Other
- Strong written and verbal communication skills.
- Strong critical thinking and collaboration skills.
- Skilled in managing tasks efficiently with an emphasis on prioritization and productivity.
- Demonstrates reliability, responsibility, and dedication in all aspects of work.
- Expected graduation date between December 2026 – July 2027.
