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

The Research Group

The Genetic and Molecular Epidemiology Unit has had several major national and international projects in understanding the etiology of metabolic diseases such as type 2 diabetes, fatty liver, obesity, cardiovascular disease and the interplay between these diseases through studying the omics and clinical determinants. Having access to several unique and rich data sets enable us to further investigate and enhance our understanding of these diseases.  Here we aim to recruit a postdoc who is experienced and interested in studying the aforementioned diseases and who has diverse knowledge and background in mathematics, statistics, and bioinformatics.

The Genetic and Molecular Epidemiology Unit runs several major national and international projects focused on understanding the role of genomic and lifestyle factors in complex metabolic diseases like diabetes, obesity and CVD. The Unit has led major projects funded by the National Institutes of Health, European Research Council and Innovative Medicines Initiative, several of which are ongoing.

The Unit currently hosts several doctoral students, post-docs and junior faculty. The Unit seeks to fill one or more new post-doc appointments. The successful applicant(s) will be expected to work in a support role to the group leader (Prof. Franks) and other members of his team within a range of projects, including those conducted solely by the GAME Unit and through large-scale international collaborations.

The current COVID pandemic has required that many members of staff work remotely, which we anticipate will be the case for the successful applicant. Nevertheless, all members of the team are expected communicate directly and on a regular basis with other team members and the head of the group, Prof. Franks. Occasional international travel for training and collaboration meetings may be necessary.

At our research group, we foster a good work environment characterised by respect and consideration in our relationships with each other, and we constantly work to create the conditions for job satisfaction, development and participation for all employees.

We hereby announces a permanent full-time employment for one year, starting as soon as possible or by agreement.

Work duties

• bioinformatics, experienced in working with analyzing and integrating multi-omic data (genetics, transcriptomics, proteomics and metabolomics)
• biostatistics, experienced in statistical methods for biological data analysis covering a range of different methods such as regression models, survival analyses, hypothesis testing and simulation analysis
• machine-learning, experienced in applying a wide-range of machine learning approaches for data analysis and prediction
• causal inference, experienced in causal inference analysis such as Mendelian randomization, Bayesian networks and structural equation modeling
• epidemiological training relating to the study of cardiometabolic diseases

Qualifications

The appointment requires:

• PhD in genetic epidemiology
• a master’s degree in bioinformatics
• training in mathematics or engineering
• at least 10 Publications in excellent journals, at least 2 of which will be as first-author
• programming in R, Bash and other languages
• excellent writing skills in English
• experience in working in large international consortia
• experience working in public-private partnerships such as IMI or AMP
• publications focusing on multiomics data analysis with machine learning methods, survival models, data simulations
• detailed understanding of type 2 diabetes, fatty liver and obesity pathophysiology

Great emphasis will be placed on personal suitability. Personal qualities such as flexibility, social skills, ability to work together and the ability to take initiative and work in a well-documented way are of great importance. Important qualities are also to be service-oriented and to have the ability to create good relationships within the environment and thereby get other employees to participate actively in the information process.