Vacancy Technical Data Manager Computational Pathology

Job description

To seamlessly integrate the increasingly growing amount of digital pathology data into our research projects, we are looking for a new colleague with technical and programming expertise in data management and data processing, who can work in close collaboration with researchers and lab technicians in our group. Are you the Technical Data Manager we are looking for? We would like to meet you!

The Computational Pathology Group (CPG) of Radboudumc Nijmegen develops artificial neural networks based on Artificial Intelligence techniques, using Deep Learning for the analysis of histopathological slides. Our AI algorithms are trained using whole slide images (WSI). WSIs are generated by scanning histopathological slides on a very high resolution. Development of most AI algorithms require large sets of WSIs used to train and validate computer models.  

Since 2020, the pathology department of the Radboudumc has implemented a fully digital pathology workflow, where every day, hundreds of digital pathology slides are scanned and diagnosed by pathologists, generating thousands of clinical reports. This wealth of data represents the perfect combination with development of state-of-the-art AI algorithms such as Foundation Models, the AI technology at the core of models like ChatGPT.  

We offer an exciting position in one of Europe's largest research groups in Computational Pathology. Initialy you will receive a 1 year contract of 0,8-1,0 FTE (open for negotiation). 

Your core tasks can be divided into the following categories:

• Research into information needs.
• Development of (medical) software/systems.
• Implementation of (medical) software/systems.
• User Support.

Place of work

The Computational Pathology Group is a research group of the department of Pathology of the Radboud University Medical Center. We are part of the interdepartmental Diagnostic Image Analysis Group (DIAG). We develop, validate and deploy novel medical image analysis methods, usually based on machine learning technology and focusing on computer-aided diagnosis. Application areas include diagnostics and prognostics of breast, prostate and colon cancer. Our group is among the international front runners in the field, where we closely collaborate with clinicians and industry.

Radboudumc
Welcome to Radboud university medical center (Radboudumc), where our research groups strive for innovative solutions that make impact on health and healthcare. We challenge the status quo to overcome current and future health challenges. Our goal is to shape the future of healthcare for generations to come. Our focus is on prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our approach is centered on breakthroughs that can truly enhance personalized healthcare and public health. 

At Radboudumc, a comprehensive range of research programs provide the compass for our research efforts. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our research programs have significant impact on health and healthcare. We invite you to join us in our mission to create a healthy future for all.

Profile

We are searching for a candidate who is experienced in programming (preferably Python) and has affinity with data processing and data management. You have some affinity with running existing scripts and research software. Affinity with container applications (e.g., Docker) and/or software development and operations is a plus.

Preferably you posses knowledge of data base structures and basic knowledge of pathology data. You are equipped with good communication skills; you can work independently but you know when to speak up. To conclude, you are comfortable with speaking English in an international research environment. 

Employment conditions

At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:

• A gross monthly salary between € 3.493 and € 5.504 (scale 10) for full-time employment (36 hours per week). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and, depending on the position, an allowance of 47% to 72% for working irregular hours.
• 172 vacation hours per year based on a 36-hour working week. (As of 1 January 2025, you will receive 176 vacation hours).

And there is more..

• An Employment Conditions Selection Model, allowing you to use part of your employment conditions to your choosing. For example, you can use your gross salary to purchase additional vacation hours or hours for providing informal caregiving. Or, for example, you can use your gross end-of-year bonus to purchase a bicycle, so you pay less tax.
• Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment. 
• Your well-being and vitality are a priority. For example:
  • Save time for work-life balance leave. 
  • You can enjoy unlimited access to a variety of activities five days a month and take advantage of all the facilities at Radboud Sport & Culture for only €27.05 per month (instead of €41)
  • Healthy Professionals program to help you manage your energy. 
  • Company Support Team and a personal coach if you are going through a life-changing event.
  • Financially beneficial working less through a Generation Scheme as you approach state pension age.
• Support in achieving a good work-life balance at every stage of your life. Examples:
  • Advice and courses on, for example, 'Millennial dilemmas' and 'Your Career After 57'.
  • Activities at our own mindfulness center.
  • Informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
• In addition to statutory pregnancy and maternity leave, Radboud university medical center offers 26 weeks of parental leave, nine of which are paid. In addition, as a partner you can take a maximum of five weeks of supplementary partner leave. During supplementary partner leave and parental leave, we supplement the UWV benefit up to 100% of your salary.
• Pension accrual at the ABP Pension Fund. Radboud university medical center pays 70% of the pension premium. 
• Discounts on supplementary packages of two group health insurances and ten other types of insurance, from home insurance to legal assistance.
• An allowance for your commuting costs of € 0.18 per km up to a maximum of 40 km one way. If you use public transport to commute, we will fully reimburse the public transport costs (2nd class). If you regularly work from home, you will receive a working from home allowance of € 2.35 per day.

Application procedure

Are you ready to think further for our patients and our care? We would like to receive your application before 4 November 2024. We will then contact you shortly. The job interviews takes place on 8 November 2024. We would appreciate it if you would take this into account.

Good to know

• This position requires a Certificate of Conduct (VOG).
• You can find more information about our application procedure and frequently asked questions on our website.
• Will you be our new colleague? Then you will be given the time and space to get to know your role, your workplace, and your colleagues. An induction day for all new colleagues is an integral part of your onboarding program. 

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!

Contact

Any questions? Or wondering what it is like to work at Radboudumc? Then send an email to Francesco Ciompi, Associate professor. Use the Apply button to submit your application.