Scientific Data Analyst in Metabolomics Research
6 days ago
Umeå University is seeking a highly skilled Scientific Data Analyst to join our Computational Metabolomics Group. This permanent, full-time position offers an excellent opportunity to further improve and develop skills in addressing application-driven data science and bioinformatics challenges in metabolomics.
We are now expanding our capacity to support life science researchers in metabolomics to transform complex data into meaningful biological and chemical interpretations. The successful applicant will be integrated in a national Computational Metabolomics Group jointly between the Metabolomics and NBIS Platforms.
Job ResponsibilitiesYou will be responsible for supporting users of the Metabolomics platform in data analyses, advanced data-driven modelling, machine learning, multivariate analysis, and other statistical methods. This role will provide national support to the Swedish Metabolomics Centre (SMC), the Chalmers Mass Spectrometry Infrastructure (CMSI), the Exposomics Platform, and the Swedish NMR Centre.
The complexity of data analytics will vary based on the research questions to be addressed. Examples of research questions include studying metabolic impact in different biological model systems to produce particular phenotypes, discovery of metabolite biomarkers related to disease, lifestyle or chemical exposures, and investigating metabolic pathway regulation in relation to disease outcomes in large-scale cohort studies.
Responsibilities include planning and executing analyses, communicating directly with users in academia and industry, writing and presenting results and reports, and staying abreast of current developments in the field. In addition, the work involves providing advanced bioinformatics training to the Swedish metabolomics research community.
Required Qualifications- PhD in Bioinformatics, Chemometrics, Metabolomics, or related subjects.
- Experience in advanced data analytics and modeling, including statistics and multivariate data analyses, of metabolomics data from high-throughput methods with applications in life science.
- 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.
- Excellent communication skills in both written and spoken English and the ability to collaborate with scientists from diverse backgrounds.
At Umeå University, we offer a dynamic and stimulating work environment that fosters collaboration and professional growth. As a Staff Scientist, you will have regular internal and external meetings and learning opportunities, as well as time for professional development and the opportunity to learn from a diverse team of colleagues at NBIS and the SciLifeLab Metabolomics Platform. The work will include some amount of travel to other Swedish universities as knowledge exchange is an integral part of our operation.
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Umeå, Västerbotten, Sweden Umeå University Full timeAbout the PositionWe are seeking a highly skilled Staff Scientist to join our Computational Metabolomics Group at Umeå University. As a key member of our team, you will be responsible for supporting users of the Metabolomics platform in data analyses, advanced data-driven modelling, machine learning, multivariate analysis, and other statistical methods.Key...
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