Assistant Professor in Health Data Science (40% time)

The Unit of Genome Biology Research, Department of Molecular Medicine, invites applications for a 3-year position as an assistant professor (40% time) in Health Data Science, specifically within Genomics-based biomarker discovery for diagnostics, and therapeutic and prognostic applications. The position has the possibility of being extended by one year. The position is to be filled as soon as possible. 

We seek individuals who have research expertise that complements existing focus areas of the department.  
 
Major research areas of the Genome Biology Research unit are to apply high-end data-driven research for a deeper understanding of gene regulation in development and disease and reveal new biomarkers for diagnosis, prognosis and therapy. To attain these goals, the laboratory is specially interested in integrating cutting-edge multiomics methodologies with bioinformatics and machine-learning techniques.

Research profile and tasks  

The main task of the candidate will be to establish lines of data-driven research that strengthen translational and integrative approaches at the molecular and mechanistic levels in the study of development and diseases within our department. 

The candidate will employ computational pipelines to analyze complex omics datasets derived from developmental and disease models. Specifically, the candidate will analyze single-cell MultiOmics (scATAC-seq, scRNA-seq), Spatial transcriptome, bulk RNA-seq, ATAC-seq, ChIP-seq, GWAS, fastGRO, CUT&Tag, CUT&Run datasets, and identify more potent biomarkers having translation potential for diagnostics, therapeutic and prognostic applications. 

The candidate will also apply machine learning-based techniques on the above single-cell and bulk Omics data sets for stratifying distinct patient populations. 

Close collaborations will be expected within the research unit and the Department of Molecular Medicine, as well as with the Department of Molecular Biology and Biochemistry, SDU, and research units within the Department of Clinical Research and Odense University Hospital (OUH). Establishment of strong international collaborations of benefit to the department will be expected as well. 

Qualifications    

The successful candidate must hold a PhD in Bioinformatics, Biotechnology, Computer Science, Physics, Engineering, Bio-engineering, or equivalent area and must have at least 3 years of postdoctoral training in above mentioned data-driven research areas.

The successful candidate must have demonstrated significant research experience through publications in the relevant area. Special consideration will be given to candidates demonstrating a strong background in analyzing above mentioned single-cell and spatial omics datasets using high-end bioinformatics and machine-learning methods and publishing work in respected peer-reviewed scientific journals. 

Teaching commitments    

The successful applicant will be expected to teach Data science, Bioinformatics, cancer biology and/or oncology or related topics to medical, BSc and MSc students at courses provided by the Faculty of Health Sciences. The candidate will be expected to participate in mentoring graduate and PhD students pursuing their Master's degree or PhD.  

In addition to the above-mentioned tasks, the assistant professor will be expected to participate in the guidance of younger colleagues, both undergraduate and postgraduate (PhD students). 

The candidate who is hired must complete a Lecturer Training Programme during the period of employment.

Danish language skills are not required initially, however, should be mastered within the first 2 years of employment.

Further information

Further information can be obtained by e-mail to the Head of the Department of Molecular Medicine, professor Boye L. Jensen [email protected] and to the Head of Research at Genome Biology Research Unit, professor Vijay Tiwari at [email protected]  

The application deadline is May 16, 2024, at 23.59 hrs. CEST. 

Conditions of employment

The employment takes place in accordance with the agreement between the Ministry of Finance and the Central Organization of the Academics.

Application

Applications must be submitted electronically using the link “Apply now” - see below.

We strongly recommend that you read How to apply for a position at SDU before you apply.

Only applications written in English will be accepted for evaluation.

The application must include (as PDF files) (please note that the application (the motivation letter) and CV must not exceed 10 MB in total):

• A motivation letter
• A CV 
• Copies of certificates/diplomas including evidence of acquisition of a PhD degree or equivalent
• A complete and numbered list of publications
• The 3 scientific, peer-reviewed publications that the applicant wishes to be included in the assessment of his or her scientific qualifications. (Please note that one PDF file must be attached for each publication).
• A Research plan
• A teaching portfolio 
• An explanation of other qualifications relevant to the position.

Incomplete applications will not be assessed. 

Applications may be shortlisted.

Assessment of (shortlisted) applicants will be done in accordance with the current/applicable university recruitment order. Applicants will be assessed by an expert committee, and applicant will be informed of their assessment by the university.

If you experience technical problems, you must contact [email protected]

Living and working in Denmark

Foreign applicants will be offered Danish language training as part of the employment. The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. 

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.