Clinical Data Analytics & AI Intern at Johnson & Johnson in Remote

Summary: Johnson & Johnson is a leader in healthcare innovation, dedicated to improving health outcomes. They are seeking a Clinical Data Analytics & AI Intern to advance clinical data review tools, blending programming and data analytics to enhance data quality and efficiency in clinical trials. Responsibilities: - Developing new features within our RShiny-based EDISONS Data Review Dashboard - Implementing standardized functions and reusable components - Contributing to documentation efforts - Working on automated data review processes, such as implementing algorithms for detecting outliers, missing data checks, flagging data issues, and building automated checks to compare datasets - Enhancing the dashboard with AI-powered data review tools like the Query Refiner for improved data queries, Protocol Deviation Classifier for automated review, Data Radar tools for comprehensive issue scanning, and Data Chat for interactive data exploration - Drafting and executing test scripts, preparing guides and requirement documents, and working closely with data managers, clinical partners, and developers to ensure that the features are practical and effective Required Qualifications: - Completion of Undergraduate Freshman year at an accredited University is required - Currently pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, Engineering, or a related field - Have a cumulative GPA of 3.5 or higher, which is reflective of all college coursework - Strong analytical and problem-solving skills, with an aptitude for quickly understanding new concepts and technologies - Experience or coursework in programming (preferably R, Python, or similar languages) and familiarity with data visualization tools or dashboard development - Solid understanding of data structures, algorithms, and principles of data quality management - Excellent written and verbal communication skills, with the ability to clearly explain technical ideas to both technical and non-technical audiences - Demonstrated ability to work collaboratively in cross-functional teams, including data managers, engineers, and clinical partners - Detail-oriented with a focus on producing accurate documentation and thorough testing - Self-motivated, proactive, and eager to contribute to innovative data analytics solutions - Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future Preferred Qualifications: - Experience in healthcare, clinical research, or MedTech is a plus Required Skills: R, Python, Data Analytics Important Skills: Data Visualization, Data Quality Management Nice-to-Have Skills: Analytical Skills, Problem-Solving, Communication Skills, Team Collaboration, Detail-Oriented Benefits: Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan., Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year., Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).