Institutionen för experimentell medicinsk vetenskap
Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.
We are now looking for a assistant researcher in protein bioinformatics. The position is full-time for two years according to a central agreement on a fixed-term employment as a assistant researcher. The desired start date is April 1, 2020 or by agreement.
The research group
Protein Structure and Bioinformatics group investigates genetic and other variations and their effects on DNA, RNA and protein, on structural, functional and other levels. We have developed several of the most reliable variation effect predictors like PON-P2 and PON-MMR for variant pathogenicity, PON-Sol and PON-Stab for molecular effects and PON-mt-tRNA and PON-BTK for molecule-specific predictions. We use and develop bioinformatic methods to reveal the significance of the variants especially in the relation of diseases.
The assistannt researcher position is available to develop prediction methods for variation interpretation and analysis of large genomic data sets. The main task is development of machine learning algorithms to address consequences and mechanisms of variants related to massive genomic data.
- Candidates should have a PhD degree in bioinformatics, computational biology or on a related field
- Background in machine learning and statistics required
- Strong background in bioinformatics, machine learning, programming, databases and data analysis is required
- Excellent skills in oral presentation and good writing skills
The successful candidate should have experience within some of the following areas:
- Data structures, databases, and data architectures
- Knowledge of biomedical resources and infrastructures
- Competences within medical statistics and statistical programming, preferably in R
- Expertise in genomic data analysis
- Expertise working in Unix/Linux environments
- Knowledge about relevant areas in biology and medicine (molecular biology, genetics, structural biology, biochemistry etc.) would be beneficial
|Type of employment||Temporary position longer than 6 months|
|Contract type||Full time|
|Number of positions||1|
|Working hours||100 %|
|Last application date||17.Feb.2020 11:59 PM CET|