Biologics Analytical R&D Intern

Job Description

Biologics Analytical Research and Development Internship Overview 

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns.  

The intern in the agile and innovative Biologics Analytical Research and Development (R&D) organization will help to create and develop artificial intelligence (AI) and machine learning (ML) engines for one or more pharmaceutical development projects. This could include: 

• 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. 

In addition to delivering on AI/ML projects, key internship expectations include: 

• 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. 

Qualifications

Minimum Qualifications  

• 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 Qualifications  

• 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.