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Göteborg•Heltid•May 21
Join us in advancing computational approaches to understand disease—Chalmers University of Technology is seeking a Project Assistant in Computational Sequence Analysis. About us At the Division of Systems and Synthetic Biology biologists, chemists, mathematicians, and engineers work together with the goal of understanding and quantitatively describing the complex functioning of living organisms. We develop technologies that contribute to human health and biosustainability. The division belongs to the Department of Life Sciences, where we conduct research, innovation, and education to enable a biobased society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. Job description You will develop and maintain Python and R-based pipelines for the analysis of large-scale single-cell RNA sequencing data, with a focus on disease-relevant variation across cell populations and tissue regions. Concretely, this involves implementing and extending workflows built around tools such as Scanpy and CellRank, applying unsupervised methods to identify cellular trajectories and disease progression patterns, and ensuring that analyses are reproducible and well-documented. You will also take responsibility for data validation, transformation, and quality control steps upstream of analysis, drawing on software engineering practices to keep codebases maintainable as projects grow. The work is carried out in close collaboration with researchers in the group and contributes directly to ongoing projects in computational medicine. Who we are looking for We are looking for someone who: Holds an M.Sc. in Computer Science or a closely related field Has hands-on experience analysing single-cell RNA sequencing data using Python-based frameworks such as Scanpy and CellRank Has a solid background in applying unsupervised methods (e.g. clustering and trajectory inference) to high-dimensional biological data Brings experience from professional software development environments Has worked with data validation, transformation logic, and relational databases Writes clean, maintainable, and well-structured code Builds reproducible analysis workflows using tools such as Pandas and scikit-learn Is comfortable working independently in a research-oriented environment
It is a great advantage if you are available to start as soon as possible. Contract terms The position is a temporary full-time employment for a maximum of 360 days. What we offer Read more about working at Chalmershttps://www.chalmers.se/en/about-chalmers/work-with-us/ and our benefits for employees. A dynamic and inspiring working environment in the coastal city of Gothenburg.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal letter Other documents (optional): Copies of completed education, grades etc.