Adhere to best practices for coding, testing, and designing reusable code/component
Exploratory data analysis, understand business knowledge, do feature engineering
Support generation of annual product review documents, regulatory inspections, and process documentation
Work with data engineers on data quality assessment, data cleansing and data analytics
Basic Qualifications and Experience
Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Engineering or equivalent).
5–8 years of work experience in Information Technology, Information Systems, or a related field
Experience in the global pharmaceutical industry preferred.
Functional Skills
Must-Have Skills
Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python
Excellent problem-solving skills and the ability to work with large, complex datasets
Good-to-Have Skills
Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
Strong understanding of data modeling, data warehousing, and data integration concepts
Interest in GenAI/LLM technology and building data products that support natural language interfaces
Professional Certifications
Certified Data & Analytics professional
Soft Skills
Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills
Ready to Apply for the Job?
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Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a “Partially Meets Expectations” or higher. Please visit our Internal Transfer Guidelines for more detailed information
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