KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy.
The School of Biotechnology offers a curriculum that reflects the multidisciplinary nature of Biotechnology, integrating theoretical and applied science in undergraduate and graduate courses. The school has six departments with about 300 employees, located at AlbaNova University Center in Stockholm and Science for Life Laboratory in Solna. The Biotechnology research within the school is internationally well recognized.
A position for Advanced Data Analysis in Plasma Proteomics is available in the group of Associate Prof. Jochen Schwenk, located at SciLifeLab in Stockholm. The group conducts high throughput and multiplexed immunoassay analysis of plasma to explore biosignatures of health and diseases.
A successful candidate will be involved in multivariate data analysis and data integration conducted within interdisciplinary projects. The aims are to model the generated plasma biosignatures with clinical information as well as with other omics data (e.g. RNAseq, NGS). The aim is to improve our understanding of high dimensional data (big data) and create knowledge beyond identifying differentially abundant proteins. The task of a successful applicant will be to use modelling for multidimensional and network analysis, as well as methods of machine learning towards non-linear dimensionality reduction of the highly dimensional data. The projects will disentangle information for these complex data structures and provide novel opportunities for studying health and disease.
The applicant should hold a PhD (or Master’s Degree with 2+ years of experience) in biostatistics, bioinformatics, computational biology, or of a related field. A PhD should be awarded less than 3 years before the deadline of the application. The applicant must have a strong background in integrative data analyses such as of omics data and a profound knowledge about biology. A keen interest in describing geno- or phenotypes through modelling approaches is of merit. Independent competence and in-depth knowledge in programming (e.g. R, Python, Pearl) and biostatistics with preferred experience in multivariate analysis, machine learning and modelling. A successful candidate should possess excellent communication and interpersonal skills (written and verbal), be motivated to work in a team and interdisciplinary projects.
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Log into KTH’s recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application.
The application must include following documents:
- Curriculum vitae
- Official record of transcripts and a copy of degree certificate
- Cover letter
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment: Temporary position longer than 6 months
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Working hours: 100
County: Stockholms län
Reference number: B-2017-0481
- Jochen Schwenk, Associate Professor , E-mail: email@example.com
Last application date: 2017-08-13