Metabolomics Data Scientist

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Join us and advance microbiome research through analytical chemistry

About us

Cmbio is a fast-growing company at the forefront of microbiome research, partnering with scientists and organizations to advance our understanding of how the microbiome influences health and disease.

We combine first-class analytical and data processing services to provide a broad range of metabolomics platforms that support Life Science research. Our analytical laboratory supports cutting-edge projects across human, animal, and environmental applications by providing advanced metabolomics and analytical chemistry services.

We are looking for a dedicated Metabolomics Data Scientist to join our data team in Vedbaek, Denmark. You will collaborate with a group of leading experts in the intersection of analytical chemistry and microbiome science, contributing to pioneering research projects.

 

Key Responsibilities:

 

  • Transform instrument outputs (LC-MS/MS or GC-MS) into high-quality peak tables.
  • Driving client projects through data processing to delivery.
  • Contribute to method development, validation, and continuous improvement of data processing workflows.
  • Maintain and trouble-shoot data pipelines for reliability and scalability.
  • Engage with cross-functional teams and explain analytical concepts to both specialists and non-specialists.

Required Qualifications:

 

  • Degree in analytical chemistry, organic chemistry, biochemistry, bioinformatics or a related field (PhD preferred, or minimum 3 years relevant work experience).
  • Previous experience in data processing of MS data.
  • Programming experience in one or more of the following: R, Matlab, Python.
  • Full professional proficiency in English (spoken and written).

 

Preferred Experience (having some of these will be considered an advantage):

 

  • Strong understanding of analytical chemistry principles and their application in biological or microbiome research.
  • Hands-on experience with mass spectrometry (preferably LC-HRMS/MS) and small molecule analysis.
  • Experience from setting up, working with, and maintaining databases (Experience with SQL, XML, MassBank, HMDB, GNPS, or LipidBlast).
  • Working in a GxP environment.
  • Supplying high-quality analytical services as part of a core laboratory team.
  • Experience integrating metabolomics with other omics (proteomics, metagenomics, or genomics).

 

Personal Attributes:

 

  • Highly organized, quality-focused, and able to work both independently and as part of a team.
  • Proactive problem-solver with a positive outlook.
  • Strong communicator, able to convey complex scientific concepts clearly to diverse audiences.
  • Passion for advancing scientific understanding in the field of microbiome research through analytical chemistry.

 

What we offer:

 

  • Opportunity to work at the forefront of microbiome and metabolomics research.
  • Flexible, dynamic, and self-directed work environment.
  • Professional growth and development opportunities.
  • Access to state-of-the-art laboratory facilities and technologies.
  • International, inclusive, and collaborative team culture.
  • Competitive salary, health insurance, paid holidays, pension and lunch scheme (Danish Holiday Act applies).
  • The position is based on a 37-hour work week, excluding lunch breaks.

 

Application:

 

To ensure a smooth onboarding, interviews will be held on a rolling basis, and we hope you can start in early January 2026 or as soon as possible thereafter.

 

Send your CV, cover letter and relevant documents to applications@cmbio.io. Please include your motivation for applying for the job in the application. In the e-mail subject field please write: “Metabolomics Data Scientist”.

 

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

 

 

Don’t meet every single requirement? At Cmbio, we are dedicated to building a diverse, inclusive, and fun workplace of colleagues driven by curiosity and with high integrity and empathy. If you are excited about this role but your past experience does not align perfectly with every qualification in the job description, we encourage you to apply anyway, irrespective of for example age, gender, race, disability, religion, or ethnic background. You may just be the right candidate for this or other roles.