Vacancy: Data manager

Background

Collection of data is of crucial importance for any research group. For a machine learning group, it is even more important. Large amounts of good quality data are essential to build machine learning solutions which can really make a difference in clinical practice. This is even more paramount given the recent developments in the area of deep learning, which requires a lot of training data to be able to learn tasks directly from the data.

Job description

We are looking for a Data Manager to lead the maintenance of clinical and research imaging databases. The role of the candidate is to lead the design, implementation and management of medical imaging databases. The candidate will have a strong understanding of databases and data analysis procedures. The successful applicant will work closely with software developers, researchers, and clinicians to collect, maintain, and analyze the collected data for the development of computer-aided diagnosis algorithms.

Responsibilities

  • Extract, transfer, and archive medical images from different clinical systems, including the de-identification and coding of patient information;
  • Creation, data entry and maintenance of clinical and research imaging databases
  • Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
  • Develop, implement and maintain annotation tools for clinicians and researchers including the supervision of the annotation effort
  • Establish rules and procedures for data sharing within the hospital and with other hospitals or research groups
  • Troubleshoot data-related problems and authorize maintenance or modifications
  • Provide support for operating and maintaining a variety of imaging workstations and computer systems
  • Communicate with clinicians and researchers to ensure data access and quality
  • Ability to support and coordinate multiple projects as requested.
  • Experience with scientific data management is a pre.

Your profile

  • BSc or MSc degree in computer science, data science or similar numerate discipline
  • Meticulous, accurate, attention to detail
  • Extensive project conception, planning and implementation experience with excellent IT skills and knowledge
  • Versatile programming skills in extracting data from various databases.
  • Computer system management and programming skills in Python, C++ or other languages
  • Excellent oral and written communication skills are required along with the ability to communicate with technical and clinical personnel at all levels
  • Previous experience with medical imaging applications, DICOM images, and PACS and other imaging workstations is highly desired but not required. Training will be provided for candidates who satisfy all other qualifications, skills, and abilities.

Terms of employment

  • Appointment 36 hours/week
  • Salary will be in agreement with your experience.
  • Employment will be initially for one year, with an intention to extend to at least 2 years.
  • For more information, see the Cao University Medical Centres.

Organization

The Diagnostic Image Analysis Group (DIAG) is a research division of the Department of Radiology and Nuclear Medicine of the Radboud University Medical Center Nijmegen. Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud UMC is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students. The focus of the Diagnostic Image Analysis group is the development and validation of novel methods in a broad range of medical imaging applications. Research topics include image analysis, image segmentation, machine learning, and the design of decision support systems. Application areas include neuro, breast, prostate, lung and retina imaging and digital pathology. Key to the success of the group is close cooperation with clinicians. Currently the group consists of around 40 researchers.

Contact

Contact Clarisa Sánchez or Colin Jacobs for more information: Clara.SanchezGutierrez@radboudumc.nl, colin.jacobs@radboudumc.nl. Use this email address only for information.

To apply for this position, please use this link.