Permanent bioinformatics staff position with expertise in machine learning
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.
The Department of Cell and Molecular Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The scientific basis of what we do lies in biology, but our research overlaps with other areas such as medicine, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.icm.uu.se/
You will be employed by ICM and participate in projects led by the National Bioinformatics Infrastructure Sweden (NBIS) at Science for Life Laboratory (SciLifeLab).
As a national hub for molecular biosciences in Sweden, SciLifeLab develops and maintains unique research infrastructure, services and data resources for life science. The overall aim of SciLifeLab is to facilitate cutting-edge, multi-disciplinary life science research and promote its translation to the benefit of society. About 200 research groups, 1500 researchers and 40 national infrastructure units are associated with SciLifeLab, with two main centers located in Stockholm and Uppsala, but with national SciLifeLab units at all major Swedish universities.
The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for improving people’s lives, detecting and treating diseases, protecting biodiversity and creating sustainability. The program will train and recruit the next generation of data-driven life scientists and create strong and globally competitive computational and data science capabilities in Swedish life science. The program aims to strengthen national collaborations between universities, bridge the research communities of life and data sciences, and create partnerships with industry, healthcare and other national and international actors.
The DDLS program is now establishing a national node in evolution and biodiversity at Uppsala University together with the Swedish Museum of Natural History. The node will have a national responsibility to develop national data services and to provide bioinformatics support. The bioinformatics support staff will be integrated with the SciLifeLab bioinformatics platform (NBIS), a unique national infrastructure with over 100 employees, providing support, infrastructure and training to the Swedish life science research community, and participating in international collaborations. We are now looking for outstanding candidates with competence in machine learning applied to biological data, to provide advanced bioinformatics support to scientifically excellent data-driven Swedish research projects in evolution and biodiversity. The position offers a unique opportunity to participate in efforts of importance for increased understanding of the distribution of organisms and for conservation of biodiversity in projects specifically selected for scientific excellence.
Read more about our benefits and what it is like to work at Uppsala University
The main responsibilities are to:
- Carry out advanced data analyses within nationally prioritized data-driven projects. The data used will be dependent on the project, and can include sequence data, image data, distribution data, and more.
- Potentially develop tools and workflows for such analyses, and make these available to other researchers.
- Educate other scientists in bioinformatics through collaboration within supported projects, teaching at advanced national courses and consultations.
- Engage in the continuous development and improvement of the DDLS program and the SciLifeLab Bioinformatics platform at a national level.
We are looking for a highly motivated scientist with a strong background and interest in machine learning applied to biological and genetics projects. The successful candidate should have:
- A PhD in computational biology or other areas considered of relevance by the employer
- Extensive experience (3+ years) with predictive analysis on biological imaging, tabular, and/or genomics data
- Experience in writing Python scripts
- Fluent oral and written communication skills in English
- Strong skills in cooperation and communication. Great importance will be given to personal suitability
Postdoctoral studies are a strong merit. Knowledge of machine and deep learning applied to evolutionary projects is a strong merit. Experience in pipeline development using Nextflow or Snakemake is considered valuable for the position.
About the employment
The employment is a permanent position, probationary period may be applied. Scope of employment 100 %. Starting date as soon as possible or as agreed. Placement: Uppsala
For further information about the position, please contact: Prof. Bengt Persson, Head of department, email@example.com and Henrik Lantz, Head of division, firstname.lastname@example.org.
Please submit your application by 16 January 2023, UFV-PA 2022/4672.
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Please do not send offers of recruitment or advertising services.
Submit your application through Uppsala University’s recruitment system.
Placement: Department of Cell and Molecular Biology
Type of employment: Full time , Permanent position
Pay: Individual salary
Number of positions: 1
Working hours: 100%
County: Uppsala län
Union representative: Seko Universitetsklubben email@example.com
Number of reference: UFV-PA 2022/4672
Last application date: 2023-01-16