Pfizer Careers: Analytical Technology Intern Role For Freshers | Apply Now
Kickstart your professional journey with Pfizer careers through this cutting-edge Analytical Technology Intern role designed for students aiming to build strong pharma careers. This opportunity is ideal for candidates seeking exposure to digital transformation, computational modeling, and automation, while also aligning with those exploring pathways related to Quality Assurance Jobs within the pharma industry.
Job Details:
- Job Title: Intern-Analytical Technology (GTEL-AT)
- Locations :India – Chennai
- Job Requisition ID: 4945729
About the Company:
Pfizer is a global leader in pharmaceutical innovation, offering transformative opportunities through Pfizer careers for individuals passionate about building impactful pharma careers. With a strong focus on digital innovation, research, and operational excellence, Pfizer supports diverse career growth—including pathways that align with Quality Assurance Jobs and analytical functions.
Job Description | Pfizer Careers
Join the Global Technology Engineering and Launch–Analytical Technology (GTEL-AT) team as an intern driving digital transformation in Analytical Technology. This internship—part of Pfizer careers—is suited for candidates aiming to build future-focused pharma careers and gain exposure to areas complementary to Quality Assurance Jobs, including computational modeling, automation, and analytical workflows.
Key Responsibilities At Pfizer Careers
- Deliver digital fluency training to colleagues to boost adoption of AI and analytics tools.
- Collaborate with external vendors to co-develop AI-based digital applications for analytical workflows.
- Support cross-functional teams in automation initiatives aligned with the Lab of the Future (LoTF).
- Develop and validate TRS100 models with internal SMEs and vendors.
- Apply machine learning, AI, statistical, data-driven, and mechanistic models to process development.
- Utilize strong chemistry and analytical skills to support scientific objectives.
- Communicate results effectively through data analysis and visualization tools.
Basic Qualifications :
- Undergraduate/postgraduate student in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Process Control Engineering, Pharmaceutical Engineering, Biotechnology, Chemistry, Analytics, or related disciplines.
- Academic focus on data-driven or mechanistic modeling.
- Strong foundation in basic chemistry and analytics.
- Experience with Python, R, MATLAB, C/C++, numerical methods, and high-performance computing.
- Strong interpersonal, organizational, and communication abilities.
Preferred Qualifications :
- Experience in modeling or digital applications for laboratory settings.
- Prior work involving automation or digital transformation in laboratory or manufacturing environments.
