(Senior) Data Engineer

contextflow is an award-winning startup developing artificial intelligence-based software applications to support radiologists during clinical routine. Our team of deep learning and engineering experts use our own data flow framework for efficient deep learning development and benchmarking. Methods developed are aligned with data, annotation, clinical and IT requirements in mind and are deployed to hospital sites across Europe providing value in clinical routine to radiologists and patients.

As a Data Engineer, you will:

Be the curator of the datasets in the area of medical imaging and clinical data.

Plan, coordinate and execute the collection, preprocessing and analysis of these datasets.

Supervise the technical implementation of data labeling in cooperation with third parties, visualize annotations and make validated labels available for machine learning.

Take responsibility for the processing pipeline right up to the machine learning models. This includes providing efficient access to images and metadata, managing data splits (train vs. test, research vs. product) and integrating labeling strategies (from volume to voxel level).

Join a deep learning team at the intersection of methodology, engineering of productive systems and medicine.

Be an active part of the R&D team in a culture of exchange and joint development of ideas.

What you can expect:

You will be part of an interdisciplinary team, characterized by close collaboration and sharing of knowledge across boundaries of individual fields. We are focused on developing cutting-edge deep learning techniques that serve the rapidly-advancing needs of precision medicine and clinical practice. We place a huge emphasis on the well-being of all our team members. We take care and support each other so that we can grow together. We work hard but also enjoy spending time together. Every second Thursday, we have Happy Hour together. Feel free to ask about it in more detail in your interview :-)

Collaborate closely with the product design and development teams to link deep learning advances and user-facing features

Thrive in a young, dynamic learning environment where you can grow

Work directly with the founders and make meaningful contributions to company’s action and value

Manage your own time via flexible working hours, remote work possible

Enjoy other perks such as company retreats, public transport tickets, myclubs membership, etc.

Founded in 2016, we are one of the leading AI medical imaging startups, having grown to 23+ people. We work together with renown customers and industry partners across Europe.

What we are looking for:

Familiarity with DICOM standard and medical data formats

Experience with Python and/or Julia or willingness to learn

Experience with modern software development processes & tools in UNIX environments

Data science basics (plotting, data visualizations, dealing with missing data during analysis)

Version control with git

Structured work style and high level of self-motivation

Work permit in EU

Fluency in English

Strong belief in growing together as a team

Empathy for each other

Bonus Skills:

Understanding of general workflow in clinical routine

Work experience in the medical domain

Experience in natural language processing

Gross salary starting from 36,000€ gross annual, overpayment based on experience, negotiable

Join an award-winning team:

Digital Innovation Award 2017 - Austrian Federal Ministry of Education, Science and Research

Philips HealthWorks 2018 - Chosen as one of 19 participants out of 700+ applications

Best Pitch 2019 (Healthcare) - Pioneers Festival

Best Healthtech Startup 2019 (Austria) - Central European Startup Awards

We are an equal opportunity employer and value diversity! Females are strongly encouraged to apply.

How to apply:

Interested? Send an email to jobs@contextflow.com with max 1500 characters (~ half a page), letting us know why you would like to join contextflow and how you can best contribute.

Please provide links or attachments with information about yourself (CV, LinkedIN, Xing, website, github…).

We look forward to receiving your application!