Part-Time Student: AI-Powered Clinical Data Insights

Cph Ai Hub; Søborg; Remote; DKK 238,000 - 339,000; Part time

Benefits offered by this job

Pension scheme (10% employer, 5%员工)

Job summary

Cph Ai Hub in Søborg, Denmark, is seeking a Student Assistant in Clinical Data Insights & Transformation. You will help turn clinical data into insights, review data quality, build clear visualisations, and support pilots introducing AI and digital tools into workflows.

You’ll work up to 15 hours per week, with an hourly base rate and a strong focus on learning with hands-on experience in data analytics, digital tools and AI within an innovative team.

Qualifications

• Currently enrolled in a relevant university programme, for example within life science, health science, data science, IT or a related field.
• Strong analytical and problem-solving skills.
• Enjoy working with data and digital tools.
• Curious about AI and emerging technologies.
• Work in a structured and independent manner.
• Communicate confidently in English.
• Are comfortable collaborating across teams and functions.

Responsibilities

• Support data analytics across data review, quality checks and listings.
• Clean data using listings, reporting and dashboards.
• Develop visualisations and presentations that clearly communicate insights.
• Assist with process improvement and support AI-related pilots.
• Keep study documentation and data listings accurate.
• Support workshops, meetings and change management activities.

Skills

Analytical skills

Data tools

AI curiosity

Independent work

English communication

Cross-team collaboration

Education

Enrolled in a relevant university program

Tools

Excel

Power BI

Power Automate

Python

AI tools

Job description

Cph Ai Hub in Søborg, Denmark, is seeking a Student Assistant in Clinical Data Insights & Transformation. You will help turn clinical data into insights, review data quality, build clear visualisations, and support pilots introducing AI and digital tools into workflows.

You’ll work up to 15 hours per week, with an hourly base rate and a strong focus on learning with hands-on experience in data analytics, digital tools and AI within an innovative team.