Assistant researcher in proteinbioinformatics - Hiring in process/Finished, not possible to apply

Within the departments, we strive toward a good working environment with respect and consideration in our relationships with each other. We are constantly working to create the conditions for job satisfaction, development and participation for all employees.

We are now looking for an assisting researchers in protein bioinformatics. The position is full-time for 1 year according to a central agreement on temporary employment as an assistant researcher. The desired start date is April 1, 2020, or by arrangement

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.

Resposibilities

An assistant researcher postdoctoral position is available to develop prediction methods for variation analysis and for analysis of large genomic data sets especially in the field of cancers. The main task is development of algorithms and data analysis of massive genomic and other data.

Qualifications

Requirements

• Candidates should have a PhD degree in bioinformatics, computational biology or on a related field
• Strong background in bioinformatics, programming, databases and data analysis is required
• Excellent skills in oral presentation and good writing skills
• Expertise working in Unix/Linux environments
• Knowledge about relevant areas in biology and medicine (molecular biology, genetics, structural biology, biochemistry etc.) would be beneficial. Background in machine learning and statistics required.

Furthermore, 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

Desirable qualifications

• Knowledge about relevant areas in biology and medicine (molecular biology, genetics, structural biology, biochemistry etc.) would be beneficial.
• Furthermore, 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