AI & Innovation Intern

Clinical Ink is the global life science company that brings data, technology, and science together to unlock clinical discovery. Our deep therapeutic-area expertise, coupled with solutions ranging from Direct Data Capture, eCOA, eConsent, telehealth, neurocognitive testing, and digital biomarkers advancement, drive the industry standard for data precision and usher in a new generation of clinical trials. With offices in the United States and Denmark, Clinical Ink is rewriting the clinical development experience.

About the role

The AI & Innovation Team is looking for a motivated intern to contribute to real-world projects at the intersection of artificial intelligence, data science, software engineering, and connected health technologies. This is a hands-on role embedded within a cross-functional team that builds AI-enabled solutions for clinical trial operations, enterprise tooling, and digital health innovation. The intern will gain exposure to the full breadth of the team's work — from applied AI and agentic systems to data pipelines, connected devices, and enterprise AI adoption — and will contribute meaningfully to active projects under the mentorship of senior team members.

Responsibilities

• Contribute to projects across one or more of the team's core competency areas (i.e., applied AI, data science, dev innovation, connected device innovation, and enterprise AI)
• Write clean, well-documented code in Python and/or other languages relevant to the assigned project
• Assist with data preparation, analysis, and pipeline development
• Support the design, prototyping, and testing of AI-enabled features and tools
• Participate in daily standups, team meetings, and agile development practices
• Document findings, processes, and technical decisions
• Present work and learnings to the team and stakeholders

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
• Foundational programming skills in Python or a similar language
• Familiarity with version control (Git/GitHub)
• Strong analytical and problem-solving skills
• Effective written and verbal communication
• Self-motivated with the ability to work both independently and collaboratively

Qualifications

• Coursework or experience in machine learning, statistics, or data analysis
• Exposure to cloud platforms (AWS, Snowflake, or similar)
• Experience with SQL and database management
• Familiarity with REST APIs and web development frameworks
• Interest in healthcare, clinical trials, or life sciences
• Prior internship or project experience in software engineering or data science