We are searching for Scientific Partnership Manager
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 Scientific Partnership Manager, you will
Act as the first point of contact for our clinical partners, developing relationships and creating win-win scenarios for their overall satisfaction
Support the installation and maintenance of our software by providing information on the software architecture of contextflow products
Serve as a bridge between researchers from partner institutions and and the contextflow R&D team, presenting our scientific methodology, gathering feedback and creating ideas for joint research projects
Evaluate scientific and usability feedback to promote a strong connection between product development and clinical practice
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 put 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 (including two professors from the Medical University and TU Vienna) and make meaningful contributions to company’s action and value
Be part of a diverse team from more than 12 countries incl. Argentia, China, South Africa, India, USA and various European countries
Manage your own time via flexible working hours
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
Understanding of radiology workflows in clinical practice
Experience with research and scientific work
Medical and/or radiological knowledge
Basic understanding of machine learning
Experience in project management
Presentation & communication skills
Structured work style and high level of self-motivation
Willingness to travel
Work permit in EU
Fluency in German and English
Strong belief in growing together as a team
Empathy for each other
Experience with AI in radiology
Academic background/work experience in the medical domain
German language skills
Gross salary starting from 36,000€ annually, negotiablebased on experience.
We are an equal opportunities employer and value diversity! We strongly encourage applications from women and those belonging to groups underrepresented in our industry.
Join an award-winning team
Science & Business Award 2016 – Rudolf Sallinger Fonds
Most Promising Startup 2016 – BCS Search Industry
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
How to apply Interested? Send an email to firstname.lastname@example.org 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…).