Data Scientist for MS Proteomics

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

Core Facilities is a university-wide Life Science research infrastructure located at Sahlgrenska Academy, University of Gothenburg. Here you have access to some of Sweden’s most advanced techniques and analysis tools for research in eg. medicine, biomedicine and clinical studies. All our units have strong national and international profiles and are part of national research infrastructures such as SciLifeLab. The units at Core Facilities are equipped with advanced instrumentation and highly competent and specialized staff. Next to highly qualified research support, our experts also offer theoretical education and practical courses. Our infrastructure is open to all researchers from Swedish and international institutions as well as private industry.

Are you looking for an exciting multi-disciplinary bioinformatic and data challenge? The Proteomics Core Facility is an open access facility organized within the Core Facilities, Sahlgrenska Academy at the University of Gothenburg, www.cf.gu.se. The Facility is a biological mass spectrometry (MS) platform that provides scientific expertise and advanced instrumentations for high quality research support. The MS platform is part of the national BIOMS infrastructure, www.bioms.se, supported by the Swedish Research Council as well as a part of the SciLifeLab national resource of unique technologies, www.scilifelab.se, in the unit Glycoproteomics and MS Proteomics.

The Proteomics Core Facility offers a wide range of proteomic studies based on large MS data sets for quantification and comparisons as well as specialized data sets in glycomics and glycoproteomics. We use Orbitrap and tims-TOF instruments interfaced with nano-LC systems to answer advanced biological questions, for discovery of biomarkers and pathways associated with various diseases. We also improve the biological understanding by supporting the site identification and characterization of glycosylations. Recently we increased the focus in the area of Clinical Proteomics and Precision Medicine.

The team at the facility has biological, medical, technical and natural science background and our daily work is more and more dependent on progress in advanced softwares, scripts, programming, data transfer etc. Our workflows, data handling, processing, MS data analysis, interpretation, data sharing and so on, would benefit from teamwork with a multi-disciplinary scientific computer specialist being able to assist in many parts of the facility work. Your contribution will be important for life science, medical and biological developments.

The role requires an individual that is passionate about computer system development and delivery of software solutions for pipelines and processing to data analysis and interpretation. The role includes supporting, driving and evolving our capabilities in quantitative proteomics and characterization of protein glycosylations. We are further looking into capabilities in precision medicine, clinical proteomics and multi-omics (e.g. transcriptomics, proteomics, metabolomics) and you will interact with a multi-disciplinary team of data scientists in our network and infrastructure.

Duties

• Explore, implement and maintain new MS data softwares and application tools as well as write your own program code for the analysis, integration and visualization of the data.
• Contribute to local and global data management processes and solutions including data sharing.
• Provide high quality bioinformatic research support and ensure optimal use of MS data.
• Support the Proteomics Core Facility with ad-hoc analysis and pipelines.
• Combining data between open-source and/or commercially available software platforms for data validation and sorting where writing scripts and programming is necessary.
• Assist in quality control and statistics of the MS analysis.
• Collaborate with researchers and team members in many aspects of data processing and handling.
  
  

Responsibilities might be distributed in the team according to competence and allocated resources.

Qualifications

• You must have at least a Master’s degree in computer science, bioinformatics, statistics or relevant scientific omics subject.
• You must be experienced in Unix/Linux operating system and R/Matlab, as well as an established general-purpose languages, Python is preferred.
• You must be versatile in information technology.
• You must be able to work independently as well as part of a team.
• You should have experience in managing and analyzing large datasets.
• You should have experience with relevant software versioning tools such as Javascript, C/C++, SQL/NoSQL databasing, and e.g. Git/Github.
• Experience with using High Performance Computing platforms on-premises or in the cloud (AWS, GCP etc) is desired.
• Demonstrated experience in the core competency areas: Mass-spectrometry based omics, multivariate and/or high dimensional data analysis (-omics), data management and visualization are desired.
• Experience in other molecular profiling technologies (e.g. NGS) or multi-omics would be an advantage.
• Previous experience working in multidisciplinary environment is desirable.
• Great emphasis is placed on personal suitability, flexibility and on good communication and interpersonal skills.
  
  

Employment

The position is a full-time (100%), permanent position, placed at Proteomics Core Facility at the University of Gothenburg. A probationary employment period of 6 months may be applied. Start date as soon as possible based on agreement.

Employment title: Associate Researcher

Contact

For questions regarding the position, you are welcome to contact Carina Sihlbom Wallem, Head of Unit at Proteomics Core Facility, [email protected] , tfn 031-786 9790. 

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