Postdoctoral researcher for personalized biomarker analysis in multiple myeloma

at  Radboudumc

3 years Are you interested in bringing breakthrough technology towards novel cancer-diagnostic applications? Come join our multidisciplinary team as a postdoctoral researcher.
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 minimal 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.

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. For this project, we are looking for an ambitious candidate with a PhD in the field of Molecular Life Sciences and mass spectrometric analytical expertise. Preferentially experienced in data-processing/automatization and data-modelling. You also have strong communicative skills and, preferentially, experience with mass spectrometry.

• An independent and well-structured working style, demanding high quality of your own work
• Well-developed social and communicative skills directed to work in a multidisciplinary team
• Strong motivation to succeed in scientific research
• Excellent presentation and scientific writing skills

Any questions? Or wondering what it is like to work at Radboudumc? Then call, send a message or email to Dr. Hans Jacobs, Medical Immunologist and Principle Investigator, via +31 (0)6 57 34 53 33. Use the Apply button to submit your application

• 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