Biomedical Research Data Analyst
18 hours ago
The Department of Biomedicine at Aarhus University prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes, neuroscience, and personalised medicine.
Aarhus University's ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve, and develop. We view equality and diversity as assets and welcome applications from talented individuals worldwide.
As Data Manager/Analyst, you will contribute to the department's mission by collating, managing, and analysing data from the Danish registers. Your tasks will include obtaining access to, organising, merging, and preparing data for studies using genetic, environmental, sociodemographic, and health data on the Danish population.
ResponsibilitiesSome of your key responsibilities will include:
- Obtaining access to, organising, merging, and preparing data from the Danish registries for studies using genetic, environmental, sociodemographic, and health data on the Danish population
- Curation of data sets and preparation of data for analyses of large health-related registry and genomics data sets on both the GenomeDK supercomputer and Statistics Denmark computing cluster
- Assisting researchers by running analyses under their guidance using the prepared data sets
To succeed in this role, you will need to have:
- A master's degree or PhD in bioinformatics, computer science, statistics, or a similar field
- Experience with programming languages such as bash, SAS, R, and/or Python
- Experience with management and curation of large data sets
- Experience with high-performance computing
- Experience doing statistical analyses of large data sets, including analyses of large pedigrees and other family designs
- Experience analyzing genetic data such as SNP array data and polygenic scores
- Experience with Danish registry-based research
- Knowledge of data security and Danish and EU regulations concerning privacy
You should also possess strong interpersonal and communication skills, be inclusive, team-oriented, and collaborative, and contribute to a good work environment. You must be able to work independently, including having strong trouble-shooting skills and adherence to timelines.
We expect you to be fluent in oral and written English.
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