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A leading cancer research institution in England seeks motivated PhD candidates for the HER-CARE project focused on breast cancer research. Successful candidates will engage in interdisciplinary research, collaborate internationally, and complete a PhD within four years. Candidates should possess a MSc in relevant fields and a passion for improving breast cancer outcomes.
TheNetherlands Cancer Institute (NKI) is recruiting three motivated and ambitious PhD students skilled in epidemiology, biostatistics or computational biology to contribute to the Hereditary & Early Onset Breast Cancer: Comprehensive Personalized Assessment, Early Risk Evaluation, and Clinical Management (HER-CARE) project.
HER-CARE is a Marie Skłodowska-Curie Actions-Doctoral network that brings together 9 leading academic and 3 industrial partners to train a new generation of multidisciplinary researchers with the unified goal of advancing early onset and hereditary breast cancer research. In total, the HER-CARE network will include 15 doctoral candidates across all participating institutes. In addition to conducting your primary research, you will broaden your experience through one international academic and one non‑academic secondment within the HER-CARE network.
The network has three overarching aims:
Risk and protective factors for the development of different subtypes of a second breast cancer (project 5):
Contralateral breast cancer is the most common second cancer in breast cancer survivors. Yet, there is limited understanding of hereditary and non‑hereditary risk factors for contralateral breast cancer, hindering effective clinical management and informed personalised prevention strategies for breast cancer survivors. The doctoral candidate for this project will develop a multifactorial, longitudinal database and perform statistical analyses to 1) identify novel factors influencing risk of second breast cancer, including common and rare germline genetic variants, immunological markers, and mammographic density and 2) study the impact of different adjuvant treatment regimens used to treat a first breast cancer on risk of a second breast cancer. The candidate will complete secondments at the University of Oxford (UK) and Evidencio (NL).
Risk modelling and online tool for shared decision making for risk management of second breast cancer (project 10):
Current risk models and clinical assessments are limited in their ability to distinguish which patients will develop contralateral breast cancer. As a result, women at low predicted risk may still opt for preventive surgeries, such as contralateral mastectomy, despite unclear survival benefits. The doctoral candidate will develop a multifactorial predictive model and online tool to assist in the shared decision‑making of second breast cancer risk management, along with a roadmap for its clinical implementation. Specifically, the candidate will 1) upgrade the CanRisk tool for risk prediction of second breast cancers using the PredictCBC model, 2) validate the upgraded CanRisk tool in relevant breast cancer populations, including hereditary breast cancer survivors, and 3) integrate CanRisk and PREDICT using the Evidencio platform for integrated second breast cancer risk assessment within context of prognostication of the first breast cancer. The candidate will complete secondments at the Cambridge Centre for Cancer Genetic Epidemiology (UK) and PHG Foundation (UK).
Genomic signatures of early onset tumours (project 12):
The distinct presentation and epidemiology of early‑onset vs. late‑onset breast cancer suggest biological differences between these tumours. However, the genomic determinants of these differences have not been well characterised. The doctoral candidate will characterise the unique germline and tumour genetic profiles of early‑onset breast cancer to uncover their biological origins, improve detection, and identify potential treatment targets tailored to distinct genomic and immunologic profiles. Specifically, the candidate will use advanced statistical methods and programming tools (e.g., R, Python) to integrate large‑scale, genomic, histological, and immunological data to identify the genomic contribution to breast cancer subtypes. The candidate will complete secondments at Centro Nacional de Análisis Genómico (Spain) and Methylomics (NL).
If the challenge appeals to you and you recognise yourself in the conditions below, we would like to invite you to apply. We are looking for colleagues who meet the following criteria:
We are eager to meet you! You can apply by clicking the apply/solliciteer button at the top of the page. Include in your application:
These vacancies are open for applications until December 31, 2025. We will contact qualified candidates in January to invite them for an interview. The first interview round will be scheduled on 20, 21, 23, 27, 28 and 30 January. The second interview round will take place between 3 and 5 February.
For questions about the positions, please contact us at HERcare@nki.nl.
The Netherlands Cancer Institute (NKI) is a dynamic comprehensive cancer centre accommodating over 55 research groups and many state-of-the-art core facilities, including imaging, flow cytometry, proteomics, genomics and screening. At the NKI we have a shared goal: providing the best care for every patient and every type of cancer. Quite a lot, but not impossible. Here, science and health care join forces towards innovation. We keep finding new ways to help people facing cancer on a global scale.
The Schmidt Group is a vibrant and international group of PhD students, postdocs, and scientists working to investigate genetic, physiological, and clinical factors that contribute to development, detection, and treatment of first and second breast cancers. As a group, we have the overarching goals to prevent breast cancer and recurrence of cancer, improve early detection, and reduce overtreatment. Additionally, we study and aim to implement the best Ethical, Legal, and Societal (ELSI) practices related to the (secondary) use of human data and materials for clinical research. Our group is positioned within the Division of Molecular Pathology, where we work side by side with fundamental, translational, and clinical research groups.