MRD is thought to result from residual therapy-resistant leukemic stem cells (LSC) and their progeny. We measure MRD by detecting aberrant protein expression patterns on thousands single cells using MFC. A high MRD and LSC burden is associated with recurrence of the disease and poor outcome. Therefore, currently the assessed level of MRD guides treatment decisions after chemotherapy in a subset of AML patients.
Conventional analyses of clinical MFC data using expert dependent data analyses are relatively subjective, poorly scalable and suffer from inter-expert variation. This may partly explain inaccurate MRD results that devalue its clinical relevance for the individual patient.
In this project we aim to develop efficient computational approaches for obtaining LSC-MRD features from longitudinal MFC data. The relation between cells and their features is investigated by constructing networks. The LSC features are subsequently used to build models to predict outcome parameters for the patients.
We are looking for a motivated post-doctoral researcher with a Master’s degree or PhD in bio-informatics, or a related field, with an interest in big data, artificial intelligence and machine learning.
You have good knowledge on statistical and machine learning methods and the capacity to develop and apply these to obtain relevant features from big data for building prediction models. Good communication skills, out-of-the-box thinking and a cross sectional interest provide you means to execute this translational project.
In addition you meet the following requirements:
- Programming experience is a must (i.e. R language, Python, shell, Matlab);
- Knowledge on statistical and machine learning methods for feature extraction, network assembly, classification and prediction is required;
- Experience with the analysis of big data in a clinical context is a significant advantage;
- Excellent English skills (writing & speaking);
- Positively-minded and eager to learn;
- You can collaborate, work independently and preferably have a cross-section mind-set.
Your work environment
The research of the current project is a collaboration between the Hematology Laboratories in the Cancer Center Amsterdam and the Department of Epidemiology and Data Science of Amsterdam UMC. The Hematology Department plays a leading role in the development of multi-parameter flow cytometry (MFC) assays and analysis methods to assess minimal residual disease (MRD) after chemotherapy in acute myeloid leukemia (AML) patients. Big data is collected from hundreds of patients before, during and after treatment in well controlled clinical trials and a standardized laboratory environment.
Research at Department of Epidemiology and Data Science covers the development of methods to generate networks from big data, co-data learning for the development of prediction models and modeling of high-dimensional longitudinal data. We offer a challenging position with access to unique, large MRD datasets and a direct aim of improving research and patient care. You will be welcomed in a research team with highly motivated scientists with different backgrounds. We aim to offer you a place to grow with ample opportunity for self-development, additional training and participation in the group.
Salary Scale 10: 2911 tot 4615 euro gross when employed full-time (depending on qualifications and experience).
In addition, we offer:
– Additional benefits include an 8.3% end-of-year bonus and 8.0% holiday pay.
– The opportunity to follow further training and development.
– Pension is accrued at the ABP. VUmc contributes a large part of the premium (70%).
– In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs).
We offer an initial contract for 12 months. Based on performance and funding the position may be extended. The terms of employment will be in accordance with the Collective Labor Agreements for Hospitals.
For more information about our employment conditions, please visit our website.
For Dutch citizens it is mandatory to provide a VOG (Verklaring Omtrent Gedrag). Foreign citizens need to provide comparable police clearing certificates.
The starting date is as soon as possible, but is negotiable.
Information and application
Don’t hesitate to call us!
If you’re interested about this position, you can contact Dr. C. Bachas or Dr. Wessel van Wieringen, via telephone number 020-4447409.
If you need more information about the application procedure, contact Brend de Jong, corporate recruiter at 020-4445635.
You can apply till 8 August 2021 by using the apply button.
Acquisition based on this vacancy is not appreciated.