Cystotech ApS

Cystotech ApS is a Danish MedTech company developing a medical software support tool based on artificial intelligence to help detect and categorize bladder cancer. The Company is a spin-out of Aarhus University/ Aarhus University Hospital and was founded in October 2021. The founding team has deep academic expertise in various fields of both medicine and AI, covering machine learning, Computer Vision, and business development, among others. Bladder Cancer is the 5th most common cancer type worldwide in men and has the highest lifetime treatment cost per patient of all cancer types. Bladder cancer has a high recurrence and progression rate. Worldwide 1.65 M people live with the disease, and 550.000 new cases are diagnosed worldwide every year. In Denmark, approx. 2000 new cases are diagnosed with bladder cancer every year, and approx. 20.000 patients live with the disease in Denmark.
Location Denmark
Website cystotech.com
Founded 2021
Employees 1-10
Industries Healthcare & Life Science
Business model B2B
Funding state Seed

Working at
Cystotech ApS

This job comes with several perks and benefits

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Skill development
Skill development

We want to take you from good to great.

Central office
Central office

Your local office is your anchor point, thus, we placed it centrally at your convenience.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

SDGs

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Team

Founder, CEO

Jacob Elmose Jensen

Founder, COO

Anna Munk Nielsen

Founder, Senior Software Engineer

Philip Nielsen Butenko

Founder, IT-security Specialist

Thomas Grønning Knudsen

Founder, CBO

Claus Hansen

Senior Regulatory Advisor

Brian Hedegaard

Software Engineer

Christian Krog

Machine Learning Engineer

Marianne Steenfeldt

Regulatory Affairs Assistant

Martin Bojesen

Data Annotator

Asiya Safi

Data Annotator

Laila

Data Annotator

Simon Kall