Digital Products Intern

Join SOPHiA GENETICS—where data meets purpose—as a Digital Products Intern within our dynamic Business Innovation and Platform Product Management team.  

This is your opportunity to contribute to a mission-driven company shaping the future of precision medicine through advanced digital solutions. You’ll work directly with the Platform Product Manager to help define and develop strategic features at the intersection of product strategy, data insights, and AI innovation—all with the goal of improving healthcare outcomes around the world. 

You will be involved in: 

Shaping AI-powered data extraction tools 

• Collaborate on the design and evaluation of features that automatically extract clinical insights from complex data sources. 

• Evaluate output from existing solutions for data extraction leveraging on Natural Language Processing (NLP); perform data mapping activities across different data sets, comparing structure, quality, and relevance. 

• Analyze user needs and workflow challenges to inform smarter, more intuitive product experiences and identify the best digital product fit.  

• Contribute to defining success metrics and assist in validating feature performance through testing and feedback. 

Supporting product strategy and lifecycle activities 

• Assist in shaping new digital product concepts and enhancing existing ones by aligning with business and user needs. 

• Analyze and map current workflows from both extern users (customers) and internal (SOPHiA GENETICS) perspective to identify challenges, inefficiencies and improvement opportunities, and propose optimized solutions for rapid implementation. 

• Draft key product documents such as internal training presentations and external communications. 

• Work cross-functionally with Product Management, Data Science, Tech & IT to turn strategic ideas into practical deliverables. 

Driving data-informed decisions 

• Conduct analyses and create clear, insightful reports to support strategic discussions and decision-making. 

• Present findings that help refine our products and ultimately contribute to better patient outcomes.

Requirements

• Bachelor in Economics, Business, Biology or related fields 

• Proficiency in Microsoft PowerPoint and Microsoft Excel 

• Excellent communication skills in English (oral and written) 

• Organizational skills 

• Proactivity 

• Problem-solving skills 

Benefits

What you will learn: 

• The dynamics of working cross-functionally with Product, Tech, Data Science, and Clinical teams 

• How to contribute to the design and evaluation of AI-powered digital health tools 

• How to translate product and user insights into clear documentation and strategic recommendations 

• How data analysis informs product decisions and improves healthcare outcomes 

• Real-world applications of AI in clinical settings and digital product development 

Location: Rolle, Switzerland 

Start: mid June-July

Contract type: 6 months 

All SOPHiA GENETICS internships & apprenticeships are paid as per each country's best practices and degree level.   

Application process 

Apply now with your CV and any supporting information. 

Suitably qualified candidates will be invited through an interview and screening process where you will speak with member of our Talent Management Team, the hiring leader, alongside key colleagues, and stakeholders from across the business. 

As a global business, English is our primary language and English-only speakers will be involved in your recruitment process. All resumes should be in English for a successful review!  

SOPHiA GENETICS: 

We believe there is a smarter, more data-driven way to make decisions in healthcare and our AI SaaS Platform enables that. You will have direct input into our mission to radically improve the outcomes for Cancer & Rare Disease patients globally. Enable our customers to push industry boundaries, as we pioneer into newly discovered fields and combine complex, multi-modal data for the first time! 

For more information, visit our website: https://www.sophiagenetics.com/