Mindpeak

HQ
Hamburg
43 Total Employees

Jobs at Mindpeak

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Recently posted jobs

22 Hours AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
Design, build, test, deploy, and maintain backend services that serve AI models and automate image processing and annotation pipelines. Integrate scanners, viewers, and LIS, optimize performance and reliability, mentor juniors, and define AI-assisted development workflows and best practices.
3 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
Develop and maintain backend services for AI-driven digital pathology, collaborating with cross-functional teams on technical solutions and automation tools.
3 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
As a Full-Stack Developer, you will design backend services, automate workflows, optimize databases, and collaborate on AI model integration.
5 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
Lead the Tech Team at Mindpeak as SVP Engineering, focusing on software development, team growth, and AI-driven workflows for cancer diagnostics and drug development.
8 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
The Chief of Staff will drive execution of strategic initiatives, ensuring operational excellence within the organization, particularly in medical and AI domains. Responsibilities include priority management, cross-functional alignment, and leading special projects.
12 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
As a Pathologist at Mindpeak, you will ensure the medical quality of AI systems, validate annotations, and lead pathology projects for scalable cancer diagnostics.
22 Days AgoSaved
In-Office
Hamburg, DEU
Artificial Intelligence • Healthtech • Software
As a Senior Machine Learner, you will develop advanced image analysis systems and machine learning models for drug development and clinical routine. Responsibilities include building models using PyTorch, managing large datasets, leading AI projects, and collaborating with interdisciplinary teams to enhance cancer treatment via AI solutions.