Job Information
- Organisation/Company
- University Medical Centre Groningen (UMCG)
- Research Field
- Medical sciences
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Not Applicable
- Hours Per Week
- 36.0
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
We are seeking a highly motivated post-doctoral student to join our dynamic research team, which is at the forefront of developing cutting-edge solutions for the diagnosis and management of bloodstream infections (BSI). The successful applicant will play a pivotal role in the implementation and enhancement of genome-based diagnostics for antimicrobial resistance (AMR). The position will be embedded in a team within a large international consortium, funded by the Horizon Europe program and is based at the University Medical Center Groningen, The Netherlands: DRAIGON (Diagnosing Infections with Multi-Drug Resistant Microorganisms using AI-powered Genomic Antibiotic Susceptibility Prediction from Long-Read Sequencing Data). The Department of Medical Microbiology and Infection Prevention is responsible for patient-specific laboratory diagnostics, clinical consulting, teaching, and research in infection prevention & control, virology, bacteriology, mycology, and parasitology.
Project aim
The DRAIGON consortium is committed to develop an innovative in vitro diagnostic device (IVD) that integrates whole-genome sequencing (WGS) and artificial intelligence (AI) for the rapid and accurate diagnosis of patients infected with multi-drug resistant (MDR) microorganisms. Subsequently, the goal is to validate the device and to demonstrate the clinical efficacy focusing on blood and joint infections.
Work package and key responsibilities
- Design and establish patient inclusion criteria and determine relevant outcome parameters for data collection
- Conduct comparative analysis of AMR prediction results using both short-read and long-read sequencing technologies
- Develop and standardize a comprehensive end-to-end workflow for profiling pathogens and detecting AMR from pre-enriched cultures derived from BSI patients
- Collect and integrate clinical data as specified, alongside standard-of-care diagnostics and sequencing data
- Perform in-depth data analysis to compare the efficacy of sequence-based diagnostics with conventional standard-of-care methods
- Identify and evaluate critical steps within the diagnostic process that affect the time-to-result, the availability of on-demand access, and the identification of reliable stopping points in the workflow
- Supervision of the PhD student(s) recruited to this project
You will work closely work with other researchers and technicians in an interdisciplinary group as well as PhD students who are working in the field of clinical microbiology and infection control. The work will be done in close collaboration with international partners.
Requirements
We are looking for a candidate with a PhD in molecular microbiology, with broad experience in laboratory work including next-generation sequencing and a strong interest in using bioinformatics for identification of bacteria and yeasts, and their potential antimicrobial resistance markers and mechanisms.
Required Expertise
- PhD in Biomedical sciences, Molecular Biology, or a related field
- Demonstrable experience or a strong interest in molecular microbiology and laboratory techniques, including next-generation sequencing
- A collaborative spirit to work effectively within an interdisciplinary team and with clinical partners
- Experience in own and innovative, question-driven experimental design
- Excellent organizational skills to manage complex workflows and data collection processes
- Strong communication skills, both written and verbal, with the capability to present research findings to a non-specialist audience
Additional experience in the following areas is highly desirable
- Proficiency in bioinformatics, with a focus on bacterial and yeast identification, as well as the detection of AMR markers and mechanisms
- Skilled in data analysis and interpretation, with the ability to compare and contrast different diagnostic approaches
- Exprience in international collaboration or a time spent abroad
- Previous experience with supervision of technicians, master students, and PhD students
Grant writing
Additional Information
The post-doc position is for a duration of four years, with an initial contract of one year followed by an extension, based on performance. The candidate will be provided with a stimulating work environment and opportunities for professional development within the field of infectious disease diagnostics. You will closely work with PhD students and technicians in an interdisciplinary group. Your salary will be a maximum of up to € 6.156,- gross per month (scale 11), depending on your qualifications and relevant experience, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday benefits, and an 8.3% end-of-year bonus. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).
To apply, kindly utilize the digital application form located at the bottom of this page. Only submissions made through this form will be considered, or until the position is filled. To ensure full consideration, please submit a complete application consisting of a cover letter, curriculum vitae, and the contact details of two professional references.
We are looking forward to your application and the possibility of you joining our team to contribute to this groundbreaking research endeavor.
Prof. John Rossen, j.rossen@umcg.nl
Prof. Bhanu Sinha MD PhD, b.sinha@umcg.nl
Prof. John Rossen
j.rossen@umcg.nl
Prof. Bhanu Sinha MD PhD
b.sinha@umcg.nl
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- University Medical Center Groningen (UMCG)
- Country
- Netherlands
- City
- Groningen
- Postal Code
- 9713 GZ
- Street
- Hanzeplein 1
- Geofield
Where to apply
- Website
Contact
- City
- Groningen
- Website
- Street
- Hanzeplein 1
- Postal Code
- 9713 GZ