AbbVie is a pharmaceutical company dedicated to discovering and delivering innovative medicines. They are seeking a Biologics Analytical R&D Intern focused on AI/ML applications to assist in developing AI and machine learning engines for pharmaceutical development projects.
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.
Building strong relationships with peers to create and implement technology solutions.
Learning fast, grasping the essence, changing course quickly, and demonstrating an openness to suggestions where indicated.
Qualification
Required
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.
Must be enrolled in university for at least one semester following the internship.
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.
Preferred
Expected graduation date between December 2026 – July 2027.
Familiarity with pharmaceutical development preferred.
Demonstrated knowledge and experience in the application of artificial intelligence and machine learning in professional industries.
Benefits
Competitive pay
Relocation support for eligible students
Select wellness benefits and paid holiday / sick time
AbbVie is a biopharmaceutical company focused on immunology, oncology, neuroscience, virology, and aesthetics. It is a sub-organization of AbbVie.