Assistant Professor in multimodal bioinformatics (2024-224-06073)

Assistant Professor in multimodal bioinformatics (2024-224-06073)

Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Aalborg University is hiring a highly skilled Assistant Professor in bioinformatics to develop our portfolio of applied projects within population genetics and integrate genetic data in multimodal machine learning models for screening and treatment stratification in complex diseases. The position is fulltime for three years. Starting date will be 1 March, 2025 or soon hereafter.

Jobbeskrivelse
About Center for Clinical Data Science
CLINDA is a part of the Department of Clinical Medicine, Aalborg University and Research, Education, and Innovation, Aalborg University Hospital and works primarily with methodological development and application of bioinformatics, biostatistics, machine learning, and data management within clinical research. CLINDA is interdisciplinary and employs biostatisticians, bioinformaticians, software developers, and data managers who collaborate with molecular biologists and healthcare professionals throughout the Danish healthcare sector. Based on health care data and molecular biomarkers, the focus is currently on establishing scalable, national decision support tools for personalized medicine.

The Assistant Professor position
The integration of genotypes with electronic health records have led to the identification of several loci associated to disease risk and drug response. You will be responsible for continuing this research by developing a research group with a special focus on identifying genetic profiles separating individuals at risk of disease from those without risk, as well as responders from non-responders to medical treatments in cancer and cardiovascular diseases. To improve the accuracy of the stratification, the genetic profiles will be included in multimodal machine learning models with e.g. ECGs, images, multi-omics, or registry data. You will work in close collaboration with local, national, and international specialist on integrating the extensive genotyped dataset of the Danish Blood Donor Study, Copenhagen Hospital Biobank, and the Danish Cancer Biobank with data from Danish registers. Your key responsibility will be bioinformatics and machine learning analysis, but you will also take part in the planning of studies, contribute to writing scientific papers as well as acquiring funding.

Furthermore, you will get responsibilities in our collaborative projects with the Department of Haematology, Oncology, and Molecular Diagnostics within analysis of omics-data.

Finally, teaching and supervision duties within bioinformatics and machine learning at the Faculty of Medicine, Aalborg University, may be expected.

You may obtain further information from Associate Professor, Rasmus Froberg Brøndum,[email protected], tel.+45 5192 3437 or Head of Center, Professor Martin Bøgsted,[email protected], tel.+45 5092 5639

Qualification requirements
Appointment as an Assistant Professor presupposes scientific qualifications at PhD–level or similar scientific qualifications in bioinformatics or a related field. The research potential of each applicant will be emphasized in the overall assessment.

You are expected to have:

• Experience with omics and data analysis in a clinical context
• Experience with programming in R or Python, and use of command line tools
• Experience with data management and analysis of large data sets
• A solid publication track record in bioinformatic journals as first or lead author
• A strong motivation for interdisciplinary research
• Excellent writing and communication skills in English with a good scientific vocabulary

Application
The application must contain the following:

• A statement outlining your reasons for applying, and intentions and visions with, the position.
• Your curriculum vitae, including personal data, educational background, scientific qualifications, dissemination skills, participation in committees and boards, and additional qualifications relevant for the position.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• A complete list of publications.
• Publications you wish to be considered by the assessment committee. You may attach up to 5 publications.
• A specification of your teaching qualifications relative to the teaching portfolio. If this is not enclosed you must include an explanation for its absence.
• References/recommendations.

The applications are only to be submitted online by using the"Apply online" button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact HR Supporter Annette Sønderby Nielsen by [email protected].

Information regarding guidelines, ministerial circular in force, teaching portfolio and procedures can be seenhere.

Løn og ansættelsesvilkår
Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministry of Finance's current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.

Ansøgningsfrist
2024-11-01

Ref. nummer
2024-224-06073