PhD candidate Digital Oncology - Implementation & Adoption

Netherlands Cancer Institute
June 17, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Function description

Join us to create better data-driven cancer care! We are looking for four enthusiastic, talented, and ambitious PhD candidates to strengthen the AVL-NKI & Kaiko Digital Oncology Program; an ambitious and transformative program driven by NKI-AVL's mission: a cure for every cancer and excellent care for every patient.

Digital Oncology Program The Digital Oncology Program aims to bring all patient data, including history, physical examination, radiology images, blood tests, pathology results and genomics to one place where the data is structured and organized. This results in a single source of truth and easy availability of data for medical teams, researchers and patients. It seems rather logical and simple ..... Unfortunately, it is not. In healthcare, patient data is highly fragmented and data is stuck in different, poorly communicating subsystems - also known as data silos.

By centralizing patient data and structuring it in a FAIR (Findability, Accessibility, Interoperability, Reuse ) way, data can be easily reused. With the help of machine learning and algorithms, oncology care is taken to the next level; the registration burden will reduce and the completeness and quality of data will increase, and care teams will be able to work fully data - informed without the current technological limitations. Moreover, oncology care becomes much more personalized through the use of real-time data and the help of decision support. Oncology research will also accelerate as data sharing within and between hospitals is optimally supported, allowing to find new insights and solution directions.

The Digital Oncology program is a long-term collaboration between the AVL - NKI and Kaiko. Kaiko is the technical innovation partner and consists of an ambitious and diverse team of data scientists, software engineers and medical experts. They are building a highly secure and scalable cloud-based healthcare platform. On the platform, efficient and integrated workflows and applications are developed with the input and help of clinical professionals. On the one hand, for innovative research and, on the other, to continuously learn, improve patient outcomes and realize the best-fit care for each patient.

The PhD program The DO program will be supported by a PhD program, in which 4 PhDs will contribute to the various aspects of data-driven oncological care meanwhile building a scientific research portfolio. The aim of the PhD program is to

  • Provide care teams with in - depth analyses for clinical /organizational purposes
  • Facilitate care teams with safeguarding collection of high-quality data
  • Develop and implement (AI powered) digital solutions for use of clinical settings by care team members
  • Validate the impact (in terms of e.g. improved work processes, patient outcomes, experience) of the developed clinical solutions.
  • Gain insight in the way digital clinical solutions can be optimally developed and adopted in healthcare processes
  • Design and evaluate implementation and change processes in the context of the digital product development
  • Job requirements

    Your role As a PhD student, you will help to bridge the gap between the medical and technical world and your research will be primarily focused on how to best implement and adopt the clinical solutions that are being developed within the Digital Oncology Program.

    The PhD position DO - implementation and adoption is aimed at candidates who have a strong interest in oncology and data-driven personalized care.

    We have designated three medical domains to start with, being gynecology, urology and head and neck surgery for the start of the DO program and the PhDs. For this position you will be connected to the Head and Neck domain. In time it is possible to extend your research to other medical domains such as melanoma).

    You will be partially spending time in clinical practice where you will observe and have standardized interviews with healthcare professionals and function as a liaison between med and tech teams. The remaining time is focused on

  • Obtaining detailed insight in current source systems and how they are used by medical staff
  • Gaining insight in clinical workflows, registration burden, and essential operational and clinical decision moments in the timeline of a patients' care pathway. End user's perspective.
  • Developing of a framework for implementation and evaluation of digital solutions
  • Implementation and optimization of approaches for full adoption
  • Evaluation of impact of digital solutions
  • Requirements

  • MSc degree in medicine or technical medicine, or an MSc degree in industrial engineering/Human Factors with an affinity with health care processes, or an equivalent study
  • Ambitious and entrepreneurial mindset, technology-oriented focus
  • A fluency in Dutch and English
  • Good cross-disciplinary collaborative and communication skills
  • Knowledge of clinical processes, medical vocabulary
  • Knowledge of / experience with medical information systems and an interest to optimize
  • Strong interest in data-driven health care
  • Ability to collaborate in a multi-disciplinary team
  • Desirable requirements:

  • Existing knowledge of the clinical day-to-day practice, preferably in oncology
  • Experience with medical data collection and curation
  • PhD supervision In the research you perform in this multidisciplinary team you will be supervised by a team of scientists, chaired by your promotor.


    Your temporary employment will be for a period of 4 years. The gross salary for a fulltime appointment will range depending on previous experience. In addition, you will receive a fixed end-of-year bonus in December (8,33%) and in May you will receive 8,33% holiday pay. For all secondary conditions visit: https: // www.

    Interested? For further information about the position, feel free to contact Marjolein Elderhorst, Program manager Digital Oncology, [email protected].

    For this vacancy, you have the option to send us a motivational video (not mandatory).The best way to do this is to upload your video through WeTransfer, Google Drive or a privatized YouTube-video, and add the link to your resume. If you have any questions or need assistance, please get in touch with our recruiter Rutger Maas ([email protected]).

    The NKI values diversity and is committed to creating an inclusive work environment that stimulates the best in each individual. Applications of all individuals are welcomed regardless of age, ancestry, religion, disability, and distance from the labor market, sexual orientation or gender identity.

    Acquisition for this vacancy is not appreciated.

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