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Data Scientist Position(s) at the Center for Health Data Science

Center for Health Data Science (HeaDS) is looking to hire two data scientists for the Center’s Data Science Lab, starting from 01-03-2021. The positions are for three years or possibly fixed-term.

About Center for Health Data Science:

The aim of the newly established Center for Health Data Science, launched in March 2020, is to strengthen data science research and use, at the Faculty of Health and Medical Sciences. The Center will function as a hub for research groups throughout the Faculty to establish data science as a topic of research in its own right. The data science lab within the Center provides data science support for all research groups at SUND and will be in charge of courses to improve the data science skills of the biomedical researchers in-house. The long-term goal of the Center is to house multiple research in health data science. Our philosophy is a relaxed work environment driven by inspired and independent people, and we hope that our new data scientist(s) will help us build upon this.

Data Scientist at HeaDS:

The main task of a Data Scientist in the HeaDS Data Lab, is to assist researchers at SUND with their health data science related issues, questions, and data analysis. In addition, a major role of the Data Science Lab is to develop, teach and host courses for employees at the Faculty, all the way from PhD student to professor. As a Data Scientist at HeaDS you will have a varied job which will include one-on-one consultancy sessions, planning, and execution of courses, workshops etc., as well as, development of data science pipelines and infrastructures to benefit researchers at SUND. You will get to utilize your expertise and specific competencies in combination with that of your colleagues to best cover the large field of health data science. You are also expected to represent HeaDS and participate in outreach at the Faculty and beyond.

Your academic profile:

  • PhD degree in bioinformatics, computer science, biostatistics, or a field of science relating to data science.
  • Strong programming skills in R and/or Python.
  • Familiarity with linux.
  • Previous experience with one or more of the following research areas:
    • RNAseq data (mapping, quantification, down-stream analysis).
    • Single cell analysis (RNA, DNA)
    • Quantitative mass spectrometry data (proteomics, lipidomics, metabolomics)
    • Genomics (DNA sequence analysis, GWAS analysis, population genetics).
    • Biostatistical analysis of biomedical datasets (categorical and numerical).
    • Analysis of biomedical images
    • Machine learning approaches within the field of medical research.

Additional valued skills:

  • A good understanding of the Computerome 2.0 platform.
  • Experience with code sharing and collaboration using git/github.
  • Knowledge of additional programming languages (e.g. C/C++)
  • Well-versed in working with large datasets, e.g., storage, data mangement, and computing.
  • Knowledge of some or more of the following, Rmarkdown, Jupyter Notebooks, Latex, Keynote/Powerpoint, Illustrator or Photoshop.
  • Familiar with sensitive medical data and GDPR compliance rules.

Your personal competencies. You are …

  • Independent, creative, forward-thinking, and have good decision-making skills.
  • Outgoing and good with people, and you enjoy teaching within your field of expertise.
  • Proficient in English. Speaking and/or understanding Danish is a plus.
  • Flexible and interested in taking on different tasks. As HeaDS is a newly established Center our priorities and assignments may change, and you may have to familiarize yourself with new procedures as we go along.

Terms of Employment:

The employment will be as academic officer in accordance with the provisions of the collective agreement between the Danish Government and AC (the Danish Confederation of Professional Associations). Your salary level will be based on seniority, and a supplement may be negotiated. There is a monthly contribution to a pension fund (17.1% of the salary).

How to apply:
Your online application must be submitted in English by clicking ‘Apply now’ below. The application must include:

  • A short letter of motivation
  • Curriculum vitae including publications
  • Masters and PhD diploma (or equivalent).
  • References and/or letters of recommendation.

Application deadline: 18 January, 2021 at 23:59 CEST.

Please note that only applications submitted online by the deadline and consisting of the above listed documents will be considered.

Applications and/or any material received after the deadline will not be taken into consideration.


Application deadline: 18-01-2021

Employment start: 01-03-2021

Working hours: Full time

Department/Location: Center for Health Data Science, SUND, KU.

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