As a (Senior) Software Developer specializing in Python, you will play a pivotal role in our development team, driving the creation of our lab tools and shaping our technologies from the ground up. Digital pathology presents significant challenges, such as managing large images with file sizes of several gigabytes and dimensions of 100,000 x 100,000 pixels. You will for example work on solutions to efficiently stream these images using an advanced image server.

At Mindpeak, the machine learning team develops AI models, while the development team ensures these models are efficiently served as APIs for various stakeholders. As part of the dev team, you will be responsible for improving our backend (and partially frontend) systems, collaborating closely with your machine learning colleagues.

A robustly engineered product is crucial to our mission of making pathology accessible worldwide. You will report directly to our VP of Engineering.

• MSc degree in Computer Science, similar field of study or equivalent practical experience.

• At least 3-5 years of professional working experience with influential work on products.

• Strong software development background in Python and web development (JavaScript and CSS knowledge is a plus).

• Curiosity for technical hardware devices and experience in interfacing them using APIs.

• Ability to thrive in a fast-paced, dynamic work environment with shifting priorities.

• Curiosity about the technological ecosystem in laboratories, including whole-slide scanners and image viewers.

• Enjoying interdisciplinary teamwork, thinking outside the box.

• Capability to work independently on your own projects.

• Strong analytical skills and a commitment to continuous learning, mentoring, and knowledge sharing.

• Experience working with Linux and Docker.

• Linux server administration and operations is a plus.

• Fluent in English; proficiency in German is a plus.

• Design, develop, test, deploy, maintain, and improve software to serve machine learning models in production with high-quality, maintainable code.

• Build automation tools to optimize the efficiency of our data annotation pipeline.

• Utilize state-of-the-art technologies like Docker, AWS, Python, and React to shape top-tier digital pathology tools.

• Integrate existing pathology hardware and software solutions (scanners, image viewers, laboratory information systems) into automated workflows.

• Manage individual project priorities, deadlines, and deliverables.

• Collaborate with product, design, front-end, deep learning, and infrastructure specialists to ensure smooth daily operations.

• Select the best approach for each task to ensure efficient and effective results.

We offer:   

• The opportunity to bring cancer diagnostics to a whole new level.

• An open and creative work environment.

• Flat hierarchies and quick decision-making processes.

• Knowledge exchange and close collaboration with skilled colleagues in a highly motivated international team, supported by an experienced management team.

• Engaging and diverse tasks and projects to develop your skills and expertise.

• A centrally located office with a captivating view of the Hamburg harbor.

Want to be on board?

Send your application (including curriculum vitae, university certificates, transcripts of records and job references) as Backend Developer with your salary expectations and earliest possible starting date to jobs@mindpeak.ai. Contact Christine Stamer with questions: christine.stamer@mindpeak.ai.