Postdoctoral Researcher for Personalized Biomarker
2 maanden geleden
Multiple Myeloma (MM) is the 2nd most common haematological malignancy and is characterized by monoclonal expansion of plasma cells in the bone marrow. These plasma cells produce monoclonal immunoglobulins (M-proteins) that provide a unique cancer-biomarker. M-protein diagnostics is crucial for diagnosis, risk-stratification and follow-up of MM patients. Current treatment of MM is not curative. However, because of greatly improved treatment regimens in the past decade, more MM patients obtain a stringent complete remission in which residual tumor load can no longer be detected. Laboratory specialists are therefore challenged to develop more sensitive assays to monitor MM-disease (suggested reading) Our team has recently developed a personalized, ultra-sensitive mass spectrometry blood test that can detect mínimal residual disease in MM patients (MS-MRD). This test strongly improves disease monitoring and may guide treatment of MM in the future. The aims of this project are to 1) automate the mass spectrometric data analysis of MS-MRD; and 2) integrate longitudinal data modelling, supported by AI, towards MS-MRD prognostic model & drug efficacy prediction algorithm.
The research in this 3-year project will be performed using longitudinal samples from an ongoing clinical trial, in close collaboration with the departments of Genetics (Translational Metabolic Laboratory), Hematology, Artificial Intelligence, Bioinformatics, and hematologists organized with the HOVON and industrial partners.
The MS-MRD method is currently based on measurement of clonotypic peptides with a bottom-up proteomics approach using reverse-phase separation using a robust LC-MS setup with an Evosep One liquid chromatograph coupled online to a trapped ion mobility UHR-qTOF mass spectrometer (timsTOF Pro2). Quantitative data are generated with real-time data processing using Proteoscape.
**Tasks and responsibilities**
- You will coordinate the practical execution of the project, including supervison of technical support staff.
- You will be responsible for the design, organization and execution of the novel MS-MRD data processing and data analysis algorithms.
- You will communicate results within our multi-disciplinary team, play an important role in the supervision of the (PhD-)students in our team, present data on international meetings, and write scientific papers.
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).
The Laboratory of Medical Immunology (LMI) performs research and diagnostics for patients with immune related disorders. The main research topic is immune regulation from a translational perspective: designing new strategies for immunotherapy and defining biomarkers to monitor immune status and treatment efficacy in patients suffering from transplant related or (auto)inflammatory disorders or cancer. LMI has strong collaboration partners in the fields of onco-immunology, inflammatory sciences, and vaccination strategies.
**Translational metabolic Laboratory**
The Translational Metabolic Laboratory (TML) bridges patient care and translational research in inherited metabolic disorders. TML harbors a range of top researchers in the areas of inherited metabolic diseases, disorders of movement, mitochondrial diseases, protein glycosylation and more. Key technologies are mass spectrometry, next generation sequencing and a multitude of functional tests. TML scientists are part of large multi-omics programs, such as the Netherlands X-omics Initiative.
**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.
- An independent and
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