Staff Scientist in Computational Metabolomics

1 month ago


Umeå, Västerbotten, Sweden Umeå University Full time
Job Title: Staff Scientist in Computational Metabolomics

We are seeking a highly skilled Staff Scientist to join our Computational Metabolomics Group at Umeå University. The successful candidate will be responsible for supporting users of the Metabolomics platform in data analyses, advanced data-driven modeling, machine learning, multivariate analysis, and other statistical methods.

Key Responsibilities:
  • Support users in data analysis and modeling using chemometrics, data science, and bioinformatics tools.
  • Develop and implement advanced data-driven models and machine learning algorithms for metabolomics data analysis.
  • Collaborate with researchers from diverse backgrounds to provide data analytical support across a wide range of studies.
  • Provide training and support to the Swedish metabolomics research community on advanced bioinformatics tools and techniques.
Requirements:
  • PhD in Bioinformatics, Chemometrics, Metabolomics, or a related field.
  • Experience in advanced data analytics and modeling, including statistics and multivariate data analyses, of metabolomics data from high-throughput methods.
  • Strong understanding and experience working with mass spectrometry data, including the biological interpretation of data to understand complex chemical and biological systems.
  • Ability to independently perform data analysis and scientific deduction based on metabolomics data at an internationally competitive level.
  • Proficiency in a scripting language such as Python, R, or Matlab.
Desirable Qualifications:
  • Experience in advanced integration of multi-omics data, such as metabolomics, exposomics, proteomics, transcriptomics, and microbiota.
  • Experience working with imaging data (e.g., mass spectrometry imaging, cryo-EM).
  • Expertise in design of experiments.

We offer a dynamic and collaborative work environment, with opportunities for professional development and growth. If you are a motivated and experienced scientist with a passion for computational metabolomics, we encourage you to apply for this exciting opportunity.



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