At Gubra we are looking for a computational biology scientist to support and expand our fast-growing field of expertise, spanning from advanced gene expression analysis to computational drug discovery and software development. We are looking for a person with a passion for data science and great coordination skills, who takes ownership and can transform complicated data to valuable biological results. A scientist who are ready to set an ambitious high standard for the quality level of bioinformatics at Gubra.

Gubra is a dynamic and data driven company. Our workdays are varied and fast-paced. It is therefore essential that you have a flexible attitude. We are focused within the disease areas of diabetes, obesity and NASH/NAFLD where many of our animal models and technological expertise’s are connected. At Gubra, we strongly believe in advancing science by continuously testing our hypotheses and trying to answer questions by conducting scientific studies in animal models or in the laboratory. As a computational biology scientist at Gubra, you are supporting that vision by analyzing data from several areas within the organization. You will be part of the Computational Biology group that consists of a group of highly passionate data scientists including PhD students who on a daily basis develop state of the art and tailor fitted solutions to understand and visualize biological problems. The group also performs various data management and software development tasks. As a member of our groups your tasks are varied, but can include:

• Develop and expand our in-house data analysis and visualization pipelines
• Develop and expand our NGS analysis infrastructure
• Develop, maintain, and support apps for data analysis tasks across the organization
• Computational drug discovery and development
• Take part in the daily scientific research, discussions, and presentations internally and externally

The exact tasks are defined by your qualifications and seniority.

Required Skills and Experience:

• Highly enthusiastic about all things related to data analysis and computational biology
• Your background can be a MSc or PhD in computational or biological / medical sciences with a keen interest in pharmacology, and drug discovery
• Fluent in the R programming language and able to execute advanced analysis tasks within this framework
• Experienced in handling and analyzing large expression datasets from genomics, transcriptomics, or proteomics experiments
• Familiarity with common data science strategies for dealing with large scale datasets

Desired Skills and Experience:

• Good Linux skills
• Experience developing software using R-Shiny
• Knowledge about database maintenance
• Experience in using machine-learning strategies to address biological questions
• Web application development

Personal qualifications:
In general, you have a positive attitude and take great pride in your professional work. Our team appreciates if you have a sense of humor and join forces. Thus, to succeed in this position you need to:

• Be well organized and deliver data on time
• Be flexible when plans and priorities change
• Interact with colleagues with a very different background
• Thrive in an informal workplace with multiple stakeholders
• Communicate well in English, orally and in writing

Please apply no later than May 8, 2020 by uploading your motivated cover letter and resume on our website. Applications will be evaluated continuously.

Do you have any questions about the position please contact, Group Leader, Martin Mikkelsen at +45 26807765 or [email protected] or Head of HR Jeanette Hesthaven at +45 2392 7500 or [email protected].