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Role Summary
Summer Intern – Digital Systems QA
Responsibilities
Deep dive into performance metrics to determine patterns, correlation, etc.
Utilize existing data to build predictive models.
Improve various digital systems by identifying opportunities where AI tools can be implemented.
Guide users about data management and connectivity.
Qualifications
Must have completed at least 2 years of studies towards a Bachelor’s degree by May 2026.
The ideal candidate will have a high level understanding of data analytics, development of machine learning models, and predictive modeling.
Must have excellent communication skills (verbal and written).
Highly organized with a strong attention to detail, clarity, accuracy and conciseness.
Highly proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook), Power BI, and existing AI/ML repositories (e.g., NumPy, Pandas, SciKit, etc.).
Must successfully exhibit Insmed’s five corporate values: Collaboration, Accountability, Passion, Integrity & Respect; along with any other position specific competencies.
Ability to interact successfully in a dynamic and culturally diverse workplace.
Skills
Data Science
AI/ML
Data Analytics
Predictive Modeling
Communication
Education
Currently pursuing a Bachelor’s or Master’s degree in Data Science and/or AI/ML.
Additional Requirements
Nice To Have: Coursework related to Python, Java, NLP; experience with building AI tools/models, data analytics projects; prior biotech or QA experience.