The intern will support the Smart Lab initiative by developing Python-based data analysis workflows, building machine learning models, and deriving insights from laboratory data.
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
Required Qualifications
Preferred Skills (Nice to Have)
What You Will Gain
How to Apply
Interested candidates should submit:
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.
Support Services
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.
Support Services
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