- 36 hours a week
- 3 years
- Date of publication: 13 February 2020
- Deadline: 12 March 2020
- Scale 10: min € 2826 - max € 4481 gross per year at full employment (incl. vacation bonus and end of year payments)
Job descriptionInherited metabolic disorders are a group of more than a 1000 different conditions caused by a genetic defect in metabolism. Patients with an inherited metabolic disease deserve an early diagnosis as well as effective and optimal treatment. Detrimental effects of the disease can only be prevented or mitigated through individualized treatment and tailored care. Biomarkers are among the key factors to make progress in this direction.
Major recent technological advances have resulted in holistic methods analyzing an impressive number of molecules in patient cells and body fluids simultaneously. Collectively called “omics”, such methods can analyze small molecules (metabolites, metabolomics), glycans on proteins (glycoproteomics) or complex lipids (lipidomics). Each individual omics technology will reflect a different kind of disease mechanism and therefore provide complementary information to better understand molecular disease mechanisms.
Tasks and responsibilities
- To coordinate data stewardship activities within UMD in collaboration with the Data steward of the X-omics initiative (led by prof. Alain van Gool). The X-omics data steward is located at the Center for Molecular and Biomolecular Informatics (CMBI, Radboudumc), led by prof. dr. Peter-Bram ‘t Hoen.
- To harmonize data interpretation workflows for omics across UMD centers and develop novel bioinformatics solutions for comparison and interpretation of multi-omics data of patient cohorts, as generated within UMD centers.
ProfileWe are looking for a highly talented, motivated, enthusiastic and ambitious data scientist with:
- A PhD in Bioinformatics, Computational Biology, or related discipline.
- Extensive experience in:
- Bioinformatics and large data analysis.
- Working with multi-omics projects, preferably mass-spec based such as metabolomics.
- Strong programming skills (Python, Java, R).
- Demonstrated interest in building computational workflows.A keen interest in translating scientific knowledge into applied research.
- Knowledge of FAIR principles, data storage infrastructure and different technologies for access and sharing.
- Ability for independent and critical thinking.
- Excellent communication and networking skills by collaboration with UMD experts (in disease, omics and bioinformatics).
- An open and professional working attitude.
- Goal oriented team player mentality with experience in working in a multidisciplinary team.
OrganizationUnited for Metabolic Diseases (UMD) is a unique National research collaboration to improve patient care for children and adults with a metabolic disorder. One of the major aims is to establish UMD-wide access to advanced technology for omics-based biomarker discovery in order to improve diagnosis, prognosis, patient stratification and therapy monitoring for patients with inherited metabolic disorders. As part of this aim, a data scientist Bioinformatics will be positioned at the Radboudumc and collaborate with metabolic experts within the six UMD centers.
Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy.
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Working conditionsUpon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center’s HR Department will apply for this certificate on your behalf.
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Comments and contact informationApplication
Applicants should send a letter of intent outlining their specific interest in the position, overall related qualifications, experience and career goals, a curriculum vitae and details of professional references.
All additional information about the vacancy can be obtained from Dirk Lefeber, professor Glycosylation Disorders and leader Data Task Force of the UMD (+31 (0)24 309 34 87 or Dr. Purva Kulkarni, Bioinformatics specialist of the UMD Data Task Force.Use the Apply button to submit your application.
Please apply before 12 March 2020.
Recruitment agencies are asked not to respond to this job posting.
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