Intern

About The Role

Key Responsibilities

• Next-Gen AI & Agentic Frameworks: Contribute to multi-agent autonomous reasoning systems (like StarlingAI) transitioning from task-specific models to enterprise-wide AI workflows.
• Predictive Modeling & Analytics: Assist in developing machine learning pipelines for critical clinical tasks, such as adverse event prediction or treatment response analysis (e.g., using Random Forests and Real-World Data).
• Process Automation: Leverage Generative AI and LLMs to streamline clinical trial operations, such as extracting trial eligibility criteria or automating statistical programming pipelines Cross-Functional Collaboration: Partner with global data scientists, statisticians
• clinical experts to validate models, map biological databases
• build Scientific Knowledge Graphs (SKG)

Qualifications

• Currently enrolled in a relevant degree program (e.g., Computer Science, Data Science, Biological Sciences, or related dual-degree programs).
• Strong programming skills in Python and/or R.
• Solid fundamental understanding of Machine Learning, Deep Learning, or Natural Language Processing (NLP) concepts.
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, Scikit-Learn, PyTorch, or TensorFlow).
• Excellent problem-solving skills and a strong desire to apply AI to real-world healthcare and drug development challenges.
• Work Location Assignment: On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
• To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . 
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