In our research group, you will find a unique opportunity to work closely with top researchers at the interface of vascular biology and neuroscience to jointly understand how the human brain becomes vulnerable during injury, neurodegeneration and aging. Our recent work (Månberg et al. Nature Medicine 2021) showed that vascular and glial cells contribute to dynamics of neurodegeneration and this project will aim to refine our understanding of cellular mechanisms, biomarkers and genetic risk of amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer’s disease. We offer an engaging and international research environment where you will have the opportunity to contribute to high quality research at the top international level.
Your mission
We are recruiting a highly motivated and independent postdoc candidate with experience in next-generation sequencing data analysis, computational genomics, medical statistics, computational biology and/or imaging analysis. The project combines single-cell, multi-omics data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer’s disease (AD). The postdoc candidate will work closely with researchers in the team as well as with our collaborators and be responsible for data analysis, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining experimental and theoretical approaches.
Your profile
Qualified to be employed as a postdoctor is one who has obtained a doctorate or has equivalent scientific competence. It is considered as an advantage if you have completed your doctoral degree within the last three years, if there are special reasons, your degree may have been completed earlier. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent.
Qualifications
- PhD in Bioinformatics, Computer science, Mathematics, Biostatistics, Neuroscience, or similar field.
- Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization.
- Experience with NGS (10x platform, Smart-Seq) or other high-throughput/dimensionality methods
- Proficiency in scripting language (Python or R) database development, maintaining & sharing code repositories.
- Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects.
- Ability to formalize a biological question into a computational model.
Merits
Experience with:
- Analysis of ATAC-seq and other open chromatin datasets
- Network analysis
- Biostatistics
- Meta-analysis.
- SNP calling from NGS data
- Working with wet lab scientists
What do we offer?
Location: Solna
Read more about the Department of Clinical Neuroscience
Application
An employment application must contain the following documents in English or Swedish:
A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work A complete list of publications A summary of current work (no more than one page)
Welcome to apply at the latest 2022-08-29.
The application is to be submitted through the Varbi recruitment system.
Want to make a difference? Join us and contribute to better health for all!
Type of employment | Temporary position longer than 6 months |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly |
Number of positions | 1 |
Working hours | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-2779/2022 |
Contact |
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Union representative |
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Published | 22.Jun.2022 |
Last application date | 29.Aug.2022 11:59 PM CEST |
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