Post-doc bioinformatics

Job title:

Post-doc bioinformatics

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Job description

Offer DescriptionIn a project funded by the Netherlands Lung Foundation, we investigate lung growth up to peak lung function in early adulthood in the national birth cohort PIAMA (Prevention and Incidence of Asthma and Mite Allergy). This unique cohort investigates over 4,000 children from birth into early adulthood. We aim to understand what determines lung growth, as low lung function is a risk factor for COPD and collected data on nasal epigenome, and blood metabolome. If the candidate is successful, we will offer a second position (2 years) funded by a VICI scholarship to professor Koppelman, where we investigate asthma development in childhood by mul-omics analysis, including single cell RNA sequencing and DNA-methylation.
Integrative multi-omics is a central part of activities, and GRIAC investigators have leading roles in single cell transcriptome sequencing, genome sequencing, epigenetic and integrative multi-omics studies of asthma, allergy, and COPD. We lead international research consortia, and have a strong portfolio of academic and industrial collaborations. We incorporate methods from artificial intelligence in our research and are able to train you in innovative methods.The candidate is expected to
– Perform epigenetic analysis of nasal DNA methylation and lung growth.
– Integrate these data with other ‘omic’ layers, including genetic variation, and gene expression, at two different timepoints using machine learning.
– Participate in the National PIAMA consortium, as well as international collaborations.
– Contribute to the training and supervision of PhD students in our department.Where to apply WebsiteRequirementsSpecific RequirementsWe are looking for an enthusiastic and ambitious computational biologist / bioinformatician with an PhD in computational biology, bioinformatics or an adjacent relevant field. The candidate has extensive knowledge of and experience in with statistical methods and computational approaches to analyze large, multi-omic datasets using appropriate software including R and Python. The candidate is able to conduct independent research and analysis as evident from a track record of competitive publications and open repositories with analysis methods (such as on Github). We expect the candidate to demonstrate professional competences in team science, show the ability to effectively communicate with collaborators and occasionally present oral communication to large groups; the candidate is conscientious and efficient in meeting commitments, observing deadlines, and achieving results. The candidate has ample experience with quantitative research, (big) data analysis, and is proficient in English writing.

Candidates who have (almost) completed a PhD degree in computational biology, bioinformatics, or related fields are also invited to respond.Additional InformationBenefitsYour salary will be a maximum of € 5.504,- gross per month (scale 10), depending on your qualifications and relevant experience, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, and 8.3% end-of-year bonus. The conditions of employment comply with the (CAO-UMC).You will first be appointed for a period of 18 months. After a positive evaluation, the contract will be extended for the remaining part of the project (an additional 24 months). Intended starting date: December 2024Explore links for more informationSelection processProfessor Gerard Koppelman, , telefoonnummer: 050 361 1036
Dr. Judith Vonk, , telefoonnummer: 06 1394 5370Additional commentsProfessor Gerard Koppelman
050 361 1036Dr. Judith Vonk
06 1394 5370
Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute University Medical Center Groningen (UMCG) Country Netherlands City Groningen Postal Code 9713 GZ Street Hanzeplein 1Contact CityGroningen WebsiteStreetHanzeplein 1 Postal Code9713 GZSTATUS: EXPIREDShare this page

Expected salary

€5504 per month

Location

Groningen, Groningen

Job date

Thu, 03 Oct 2024 02:05:13 GMT

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