Insmed is looking to identify and implement AI/ML opportunities within their Quality Assurance team to improve digital systems and patient outcomes.
Requirements
Highly proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook), Power BI, and existing AI/ML repositories (e.g., NumPy, Pandas, SciKit, etc.).
Coursework related to Python, Java, NLP.
Experience with building AI tools/models, personal/educational project(s) related to AI/ML, or data analytics.
Responsibilities
Leverage your data science and AI skills to identify and implement AI/ML opportunities within QA.
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.
Other
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.
Must successfully exhibit Insmed’s five (5) corporate values: Collaboration, Accountability, Passion, Integrity & Respect; along with any other position specific competencies.
Individuals must demonstrate the ability to interact successfully in a dynamic and culturally diverse workplace.
Previous experience within the biotech industry or within a Quality Assurance team.
