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Are you passionate about leveraging cutting-edge technology to drive innovation in healthcare? Join Pfizer, a global leader in pharmaceuticals, and immerse yourself in a dynamic internship experience where you’ll contribute to groundbreaking projects that impact the lives of millions!
ROLE SUMMARY AND RESPONSIBILITIES
Role:
As a Data Scientist in the Strategic Partnerships Team, you will be integral in supporting data-driven projects that bridge external collaborations and internal data science capabilities. This role offers a unique opportunity to work at the intersection of data science and pharmaceutical innovation.
Responsibilities:
– Collaborate with the Strategic Partnership Project Manager and internal teams to understand project objectives and requirements.
– Collect, clean, and preprocess data from various sources to prepare datasets for analysis.
– Apply statistical and machine learning techniques to derive meaningful insights from pharmaceutical data.
– Assist in the development of data-driven models and algorithms to support collaborative projects in drug discovery, clinical trials, and R&D.
– Collaborate with external partners to understand their data requirements and facilitate data sharing in compliance with regulatory standards.
– Work closely with the project coordinator to ensure timely delivery of data-related project milestones.
– Contribute to the documentation of data science methodologies, findings, and best practices.
-Stay updated on the latest data science techniques, tools, and advancements relevant to pharmaceutical R&D
BASIC QUALIFICATIONS
-Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
-Strong understanding of data science concepts, statistical analysis, and machine learning algorithms.
-Proficient in programming languages such as Python or R, with experience in data manipulation and analysis libraries.
-Familiarity with data visualization techniques to communicate findings effectively.
-Excellent problem-solving skills and the ability to work in a collaborative team environment.
-Interest in the pharmaceutical industry and its applications in data-driven innovation.
