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Skilled Data Scientist within metabolomics

Would you like to contribute to advancing the development of metabolomics in the field of microbiome research?

Skilled Data Scientist within metabolomics

Life Science
Full-time
October 24, 2023

Would you like to contribute to advancing the development of metabolomics in the field of microbiome research?

About us

Clinical Microbiomics is a fast-growing entrepreneurial company consisting of three companies: Clinical Microbiomics, CosmosID and MS-Omics.

We are looking for a data scientist for MS-Omics – a leading metabolomics provider. MS-Omics combines first-class analytical and data processing services to provide a broad range of metabolomics platforms that support Life Science research. Our mission is to aid our customers in gaining a deeper insight into the underlying mechanisms of their studies.

Who are we looking for?

We are looking for a data scientist with experience in metabolomics. We expect you to have:

  1. A relevant master’s degree.
  2. A structured mindset.
  3. Experience within metabolomics or non-target analysis of small molecules
  4. Experience with chromatographic data originating from LC-HRMS/MS
  5. Experience within one of the following fields will be an advantage:
    • Chemometrics or statistics.
    • Laboratory work or detailed insight into laboratory workflows
    • One or more of these software tools: MetaboScape, Compound Discoverer, MATLAB, R or Python, SQL databases.

On a personal level, you must be able to work independently and display a high-quality mindset. Our customers are often scientists from other scientific disciplines working on a diversity of different projects so good communication skills are required for the position. We expect that you truly enjoy working with metabolomics.

It is important that you are a team player and enjoy interacting with colleagues and customers. You have great problem-solving abilities, understand the advantages of mutual respect, have a positive mindset, and like to have a good laugh.

Job description

Your main responsibility is data processing turning data output from our instruments into high-quality peak tables. You assist in different tasks from the development of quality control procedures, standard analysis of data sets, development, and implementation of new procedures and workflows. You will work in close contact with our skilled analytical chemists, and report to Lea G. Johnsen, SVP metabolomics.

As we are part of the Clinical Microbiomics company you will have the opportunity to also work with our colleagues at Østerbro in Copenhagen.

What we offer

  • Opportunity to influence your development.
  • Competent and committed colleagues
  • A well-equipped metabolomics lab
  • Diverse, interesting projects
  • International and inclusive working environment

Weekly working hours are 37 hours, excluding lunch break.

Benefits:

  • Holiday with pay under the (Danish) Holiday Act
  • Health insurance
  • Lunch scheme

Application

As we hope our new colleague will be able to start 1st of January or soon hereafter, we will conduct interviews on an ongoing basis.

Send your CV, cover letter and relevant documents to applications@msomics.com. Please include your motivation for applying for the job in the application. In the e-mail subject field please write: “Skilled data scientist”.

Further information

You are very welcome to call Lea Johnsen at +45 42 20 82 84 for further information about the position.

All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply.

Clinical Microbiomics is a world-leading provider of research services within the rapidly growing microbiome field. We provide microbiome analysis services for clients across pharma, biotech, nutrition, and academia. We enable our clients to gain a better understanding of the role of the microbiome in human health and disease. We are 107 employees in total with 17 of us located at the MS-Omics site in Vedbæk, Denmark.

For further information on Clinical Microbiomics and MS-Omics go to www.clinical-microbiomics.com and www.msomics.com.