Exciting Internship Opportunity at Pfizer : Gain Hands-on Experience in Statistical Data Science & Analysis in Mumbai & Chennai!

Company : Pfizer

Position : Statistical Data Sciences and Analysis (Intern)

Location : Mumbai, Chennai

Qualification : Final year Master’s or M. Tech (Statistics/Biostatistics/Mathematics/Data Science/Bio-technology/Bio-Medical Engineering/Computers or IT Engineering)

Experience : Freshers

Roles and Responsibilities :

Statistical Data Sciences and Analysis (SDSA) is an important function with-in Global Biometrics & Data Management (GBDM). This role plays a important role in delivering high-quality programming work that supports Pfizer’s portfolio. The SDSA department ensures that programming tasks are completed on time and meet high standards. The team will also responsible for selecting and applying the best algorithms and for developing advanced programming practices. These practices are used from the early stages of study-level requirements through the final phases of submission and product defense.

The SDSA team is hiring statistical programmers at different levels. These professionals are expected to have strong problem-solving skills, logical reasoning, and programming abilities. The task includes handling complex data, developing statistical models, and ensuring accurate programming solutions that contribute to research and development in the pharmaceutical field. Statistical programmers in this department work with large datasets, perform data analysis, and apply statistical methods to support clinical studies. A candidate also collaborate with different teams, including statisticians, data managers, and researchers, to provide programming solutions that help in decision-making.

A candidate who join the SDSA department gain valuable hands-on experience in statistical programming. A candidate get an opportunity to work alongside full-time employees (FTEs) on various SDSA projects. This experience helps candidate to develop practical skills in programming and data analysis. A candidate learn to work with important programming languages such as R and Python, which are widely used in statistical computing and data science. These languages help in performing data manipulation, visualization, and statistical modeling | Exciting Internship Opportunity at Pfizer!

In addition to programming skills, A candidate also gain an understanding of Artificial Intelligence (AI) and Machine Learning (ML). These modern technologies play a important role in data science and are increasingly used in the pharmaceutical industry for data analysis, predictive modeling, and decision-making. By working on AI and ML-related projects, A candidate will learn how these technologies can be applied to solve real-world problems.

This internship program is designed to provide a structured learning experience. A candidate can get to work on real projects, apply their programming knowledge, and improve their technical and analytical skills. A candidate will also receive guidance from experienced professionals who mentor them throughout their internship. This exposure helps them develop a deeper understanding of statistical programming in the pharmaceutical industry.

By the end of the internship, A candidate will gain practical knowledge and hands-on experience that can be useful for their future careers. A candidate will become more confident in handling programming tasks, analyzing data, and using statistical techniques to solve problems. The internship also prepares a candidate for potential full-time roles in the field of statistical programming and data science.

Exciting Internship Opportunity at Pfizer! | Eligibility Criteria :

The internship program is open to a candidate who are in the final year of their Master’s or M. Tech degree in the following fields:

• Statistics

• Biostatistics

• Mathematics

• Data Science

• Biotechnology

• Biomedical Engineering

• Computers or IT Engineering

This is a fixed-term internship lasting 4 to 6 months, starting in April 2025. This internship is designed for a candidates who have a strong interest in statistical programming, data analysis, and computational techniques. This internship program provides hands-on experience in working with programming languages like R and Python and offers exposure to Artificial Intelligence (AI) and Machine Learning (ML) applications in the pharmaceutical industry.

A candidates should have strong problem-solving abilities, logical reasoning, and analytical skills. A candidates should also be eager to apply statistical and computational methods to real-world problems in healthcare and research. A candidates will work alongside experienced professionals on projects related to data science, biostatistics, and programming deliverables.

This opportunity helps a candidates develop industry-relevant skills, gain exposure to real projects, and build expertise in statistical computing and advanced programming techniques. A candidates who meet the eligibility criteria and are passionate about data-driven decision-making are encouraged to apply.

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