Feasibility Informatics Summer 2024 Internship

The Informatics group are looking for qualified interns in the penultimate year of their study to support our team in our London office starting summer 2024. This is a 12-month University Placement opportunity.

The informatics team utilizes informatics principles and techniques to architect, mine, analyse, and visualize clinical trial data to inform study design choices for pharmaceutical development. This internship will provide intensive informatics experience in query-based programming, data interpretation, and visualization creation.

The Informatics team is a highly collaborative team with members in both the London and Cincinnati offices, which provides interns the opportunity to work directly with international employees.

The informatics’ internship has a formal intensive onboarding process followed by a mentored path to independence for students. Daily activities include whiteboarding sessions, group-think meetings with the global team, independent data exploration, and programming for custom data queries and structures. Students have weekly meetings with their supervisor, whom they interact with daily. They also receive the support of analysts on the team for various projects, as needed. This team emphasizes an open learning environment for students and employees to learn from each other and accomplish innovative projects. Students will become proficient-to-advanced in R and proficient in SQL during this experience. Students will also have the opportunity to work with software and systems including PowerBI, Excel and Snowflake.

• Customization of programming scripts for data management
• Creation of standardized operational procedure documents
• Contribution to design and delivery of data visualizations
• Collation of data for proposal support requests

• Must be pursuing a bachelor’s or master’s degree in computer science/engineering, biomedical engineering, health information, statistics, bioinformatics, or related field
• Excellent verbal and written communication skills
• Excellent analytical skills
• Experience programming with R, or other computer language
• Introductory Microsoft Excel skills