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Researcher in Data Analysis
5 days ago
The Proteomics Core Facility at the University of Gothenburg invites applications for a position as Researcher in Data Analysis. The successful candidate will contribute to the development and maintenance of cutting-edge computer systems and data analysis pipelines for quantitative proteomics and characterization of protein glycosylations.
With access to advanced instrumentation and expertise in biological mass spectrometry, our facility supports researchers from Swedish and international institutions. We seek an exceptional individual with a strong passion for computer system development, data analysis, and interpretation, combined with experience in Unix/Linux operating systems, R/Matlab, and Python.
Main Responsibilities- Implement novel MS data software and application tools, utilizing programming languages for data analysis, integration, and visualization.
- Participate in local and global data management processes and solutions, ensuring seamless data sharing.
- Deliver high-quality bioinformatic research support, ensuring optimal use of MS data.
- Support the Proteomics Core Facility with ad-hoc analyses and pipeline development.
- Combine data between open-source and commercially available software platforms for validation and sorting, scripting as necessary.
- Collaborate with researchers and team members in various aspects of data processing and handling.
- A PhD degree in computer science, bioinformatics, statistics, or relevant scientific omics subject.
- Experience in Unix/Linux operating systems, R/Matlab, and an established general-purpose language (Python preferred).
- Versatility in information technology.
- Ability to work independently and as part of a team.
- Experience in managing and analyzing large datasets.
- Desired experience with High-Performance Computing platforms on-premises or in the cloud (AWS, GCP, etc.).
- Demonstrated experience in core competency areas: Mass-spectrometry based omics, multivariate and/or high-dimensional data analysis (-omics), data management, and visualization.
- Previous experience working in a multidisciplinary environment is desirable.
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