Data analyst

Data Science & AI Posted date 6 April 2021 KøbenhavnRigshospitalet

Are you an expert analyst with an interest in epidemiology and statistical analyses of health data? Are you excited by working with state-of-the-art computational methods in an international medical research environment – and to handle data all the way – from data-cleaning, interpretation and analysis to publication?

COPECARE is an internationally renowned research unit in clinical rheumatology with a staff of four professors, 8, 15 PhD students, data team, research nurses, lab technician and administrative staff. We aim to expand our current data team and therefore we are looking for a new colleague with a background in data science, (bio)statistics, bioinformatics or similar expertise within computational research – and with an interest in epidemiology and health care registries. You will join our current team of 3 data scientists with complementary skills across a range of research fields. Your tasks will be to take part in managing computational parts of interdisciplinary medical research projects combining clinical and registry data, genetic and serological biomarkers and medical imaging in rheumatology in an international clinical research environment. You will handle data all the way from data cleaning, interpretation and analysis to publication. The major projects for the data team are:

DANBIO, which is a nationwide, Danish quality registry in rheumatology ( With more than 40,000 patients included and monitored prospectively, it is one of the largest in the world. DANBIO data on individual patients’ disease manifestations, treatments and outcomes over time can be enriched with other medical and socio-economic data by linkage to a large number of national administrative registries at Statistics Denmark. This makes DANBIO a unique tool for surveillance of short- and long-term safety events and effectiveness in newly marketed drugs. A team of statistical, epidemiological and clinical experts is currently being established to solve those tasks.

The NORA project is a Nordic collaborative effort between Danish, Swedish and Norwegian academic institutions aiming to explore serological and genetic biomarkers associated with treatment effects and prognosis in rheumatoid arthritis. A fully merged dataset including a wide range of results from biomarker analyses and clinical outcome data from historic observational and clinical trial cohorts will serve as the basis for a range of explorative and confirmative analyses. A core team of statistical and clinical experts with representation from the three countries is currently being established.

The EuroSpA project is a Research Collaboration Network established in 2016 in the field of axial spondyloarthritis and psoriatic arthritis with participants from 16 European countries aiming to address research questions regarding real-world treatment of arthritis patients across Europe by pooling relevant data variables from patient registries. The collaboration is currently expanding to include collection and assessment of MRI and X-rays. EuroSpA is led by an international Scientific Committee and supported by a Coordinating Centre located at COPECARE.

The position

In collaboration with your data team colleagues and the principal investigators/clinical researchers, you will be responsible for handling of all types of data in the projects and contribute to the data flow from the raw data are extracted to the final analyses are published in international scientific journals. Specifically, you may

  • Take part in preparation of new studies by developing data models based on study protocols
  • Extract and clean clinical data from DANBIO
  • Receive and screen clinical data from the participating EuroSpA registries and participate in the data-cleaning process
  • Manage data on the secure servers at Statistics Denmark and perform linkage across nationwide registries
  • Pool clinical and imaging data and prepare analytical datasets
  • Plan and conduct statistical analyses
  • Contribute to scientific papers and study reports
  • Communicate with European data managers, physicians, scientific programmers and IT-developers

We are looking for a candidate with

  • A Master’s or PhD degree in data science, (bio)statistics, bioinformatics, applied mathematics, epidemiology or similar
  • Expertise in scientific programming in R
  • Experience with collating complex data and creating an overview
  • Experience in statistical analyses and data visualization
  • Experience with epidemiological methodology
  • Experience with management, linkage and analyses of patient registry data and administrative databases (e.g. the Danish National Patient Registry) will be an advantage
  • Experience with reading code and collaborative software development using GIT
  • A focus on delivering high quality data and analyses
  • Familiarity with documentation of data processes
  • The ability to work independently and as part of a team
  • Excellent interdisciplinary communication skills
  • Experience with analyses on genetic data and biomarkers
  • Posted date 6 April 2021
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