Internship Opportunity: Data Science & Python Developer – Smart Lab Initiative

Location: Chennai (or Hybrid)
Duration: 3–6 months (flexible based on institute requirements)
Eligibility: Undergraduate / Postgraduate students

About the Role

We are seeking highly motivated interns to support our Smart Lab initiative, focused on applying data science and Python-based analytics to laboratory and pharmaceutical process data. This internship offers hands-on exposure to real-world problems at the intersection of chemical engineering, data science, and digital transformation in a regulated R&D environment.

The intern will work closely with scientists and data modelers to develop data-driven insights, automation scripts, and predictive models that enhance laboratory efficiency and decision-making.

Key Responsibilities

Develop and maintain Python-based data analysis workflows for laboratory and process datasets

Perform data cleaning, transformation, and exploratory analysis using NumPy and pandas

Build and evaluate basic machine learning models (e.g., regression, classification) using scikit-learn

Support development of predictive or descriptive models linked to lab operations and experimental data

Create clear visualizations and summaries to communicate insights to technical stakeholders

Document code, assumptions, and results in a reproducible and structured manner

Collaborate with cross-functional teams including chemical engineers, scientists, and data analysts

Required Qualifications

Strong Python programming skills, with hands-on experience using:

NumPy

pandas

scikit-learn

Solid foundation in data science / machine learning concepts

Academic background in Chemical Engineering, Data Science, or a closely related discipline

Currently pursuing or recently completed a B.Tech / M.Tech / MS from premier institutes (e.g., IITs, IISc, NITs, or equivalent)

Ability to work with experimental or process data and derive actionable insights

Preferred Skills (Nice to Have)

Experience with data visualization libraries (e.g., matplotlib, seaborn)

Familiarity with Jupyter notebooks and version control (Git)

Basic understanding of pharmaceutical or chemical process data

Exposure to statistics, process modeling, or optimization techniques

What You Will Gain

Hands-on experience applying data science to real laboratory and manufacturing problems

Opportunity to work in a Smart Lab / digitalization initiative within pharmaceutical R&D

Mentorship from experienced scientists and data modelers

Exposure to industry-standard practices in data analysis, documentation, and reproducibility

How to Apply

Interested candidates should submit:

A brief CV

A short note describing relevant Python/data science experience

(Optional) GitHub or project portfolio links

  
Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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