About the Role:
The AQDS India-Philippines team is spearheading Pfizer's shift toward AI-native clinical and regulatory workflows. We fuse biological and clinical expertise with advanced machine learning and Generative AI to solve critical challenges in drug development. As an intern, you will be fully embedded into our high-performance team to co-develop production-level scientific algorithms and intelligent frameworks.
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, and clinical experts to validate models, map biological databases, and 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
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.
Support ServicesSkills Required
- Currently enrolled in a relevant degree program (Computer Science, Data Science, Biological Sciences, or related)
- 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 (Pandas, Scikit-Learn, PyTorch, TensorFlow)
- Excellent problem-solving skills and desire to apply AI to healthcare and drug development
What the Team is Saying
Pfizer Compensation & Benefits Highlights
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Healthcare Strength — Multiple U.S. medical plan options include telehealth, comprehensive mental‑health support, fertility/family‑building benefits, transgender‑inclusive coverage, and certain Pfizer medications at no cost. A Wellbeing Wallet and wellness resources broaden the health and wellbeing offering.
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Retirement Support — A 401(k) with company matching is paired with an additional Pfizer Retirement Savings Contribution, alongside company‑paid life and disability insurance. One‑on‑one financial planning support is provided through Fidelity.
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Leave & Time Off Breadth — Paid time off spans vacation, holidays, and personal days, with additional caregiver and medical leave. U.S. parental leave commonly includes 12 weeks paid with options for additional unpaid bonding time and a return‑to‑work transition.
Pfizer Insights
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What We Do
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Why Work With Us
We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.
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