Data Engineering Manager

RaySearch develops innovative software solutions to improve cancer care. Over 2,600 clinics in more than 65 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe, Asia and Australia & New Zealand. Today we are more than 380 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination.

Are you a leader who want to use your skills in cloud technology and data lakes to enable data-driven oncology? RaySearch is looking for a group manager to our Machine Learning Analytics team to our head office in Stockholm.

About the position

You will lead the Machine Learning Analytics team, an agile and dedicated team consisting of four data engineers and one data scientist. The responsibility of the group is to develop a cloud-based oncology analytics system and to support the machine learning teams in the Machine Learning Department with efficient infrastructure and pipelines for model development. We really encourage collaboration and knowledge sharing and you will work closely with research engineers, system developers and product owners as well as leading cancer centers to develop solutions that help clinics make better use of their data.

Your main tasks:

• Manage and develop the Machine Learning Analytics team members
• Develop a cloud-based oncology analytics system
• Support the machine learning teams with model development infrastructure
• Be involved in planning and strategic discussions for the Machine Learning Department with the other group managers

Your profile

We are looking for a leader who have a great passion for cloud technologies and data-driven frameworks with a strong drive to develop and assess innovative solutions. We think that you are a person who likes to collaborate and have a variety of contact surfaces. In this job you will have great opportunities to contribute to the development of the Machine Learning Department and make a difference for cancer patients all over the world.

Requirements:

• Leadership experience
• Cloud experience AWS/Azure
• Data lake technologies
• Business intelligence experience
• B.Sc. or M.Sc. in computer science, mathematics or equivalent
• Excellent spoken and written communication skills in English

Meriting skills/experience:

• Web application development
• Data pipelines
• Data science tools
• SQL databases
• Medtech industry
• International environment

Application

Please apply to the position through the application form below. Selection and interviews will be ongoing. We do not accept applications by e-mail, but if you have any questions about the position please contact Fredrik Löfman (Director of Machine Learning) or Alinne Andersson (HR).