Pfizer

Intern

Posted Yesterday

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Chennai, Tamil Nadu, IND

In-Office

Internship

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical

We’re in relentless pursuit of breakthroughs that change patients’ lives.

The Role

Develop computational tools, digital applications, hybrid models, and automation solutions for analytical technology and Lab of the Future initiatives. Responsibilities include machine learning, AI, statistical and mechanistic modeling, process monitoring, app development, vendor collaboration, digital fluency training, and communicating results. The intern will apply chemistry and analytical knowledge while working with cross-functional teams and subject-matter experts.

Summary Generated by Built In

Role Summary
Join our Global Technology Engineering and Launch-Analytical technology (GTEL-AT) team as an intern focused on advancing digital transformation in Analytical Technology. You will develop computational tools, APP and system-level models to support process characterization and optimization, with an emphasis on hybrid modeling (data-driven + mechanistic), process monitoring/control, and automation projects aligned with the Lab of the Future (LoTF) vision. Your talent will be tapped for digital fluency enhancement of colleagues.
Key Responsibilities

Development of E&L app: Development of an E&L app which can track internal and external data repositories, BoH sites and guidance documents.
Digital Fluency Training: Provide training sessions to colleagues to enhance digital fluency and adoption of AI tools and analytics within the department.
Vendor Collaboration: Engage with external vendors to co-develop AI-based digital application tailored for Analytical Technology workflows.
Project Support: Work collaboratively with cross-functional teams to run automation projects, contributing to the development of the Lab of the Future (LoTF).
Model Development: Develop and validate a model for TRS100 in partnership with departmental subject matter experts (SMEs) and vendors.
Computational Modeling: Apply data-driven modeling, machine learning, AI, statistical methods, and mechanistic models to process development and monitoring.
Chemistry & Analytics: Utilize a strong foundation in basic chemistry and analytical techniques to support project objectives and ensure scientific rigor.
Results Communication: Present findings and progress to internal teams and, occasionally, at external forums, using data analysis and visualization tools.

Basic Qualifications

Undergraduate or postgraduate student in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Process Control Engineering, Pharmaceutical Engineering, Biotechnology, Chemistry, Analytics, or related discipline.
Academic focus on data-driven or mechanistic modeling, with demonstrated experience in computational techniques.
Strong background in basic chemistry and analytics.
Experience with programming (Python, R, MATLAB, C/C++), numerical methods, and high-performance computing (Linux-based environments).
Excellent organizational and interpersonal skills; able to manage multiple projects and work effectively in cross-functional teams.
Strong written and verbal communication skills.
Strong background in APP development

Preferred Qualifications

Experience in modeling and developing digital applications for laboratory environments.
Prior involvement in automation or digital transformation projects in laboratory or manufacturing settings.

Work Location

Chennai

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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Skills Required

Undergraduate or postgraduate student in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Process Control Engineering, Pharmaceutical Engineering, Biotechnology, Chemistry, Analytics, or a related discipline
Academic focus on data-driven or mechanistic modeling
Demonstrated experience in computational techniques
Strong background in basic chemistry and analytics
Programming experience with Python, R, MATLAB, C, or C++
Experience with numerical methods
Experience with high-performance computing in Linux-based environments
Excellent organizational and interpersonal skills
Ability to manage multiple projects and work effectively in cross-functional teams
Strong written and verbal communication skills
Strong background in app development
Experience modeling and developing digital applications for laboratory environments
Prior involvement in automation or digital transformation projects in laboratory or manufacturing settings

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The Company

HQ: New York, NY

121,990 Employees

Year Founded: 1848

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.