Computational 1oral Fellow/ Computer Scientist / Bioinformatician
Reference number: HD02522
The Furlong lab at EMBL Heidelberg combines genomics, genetics and computational biology to obtain a functional understanding of how our genome is regulated. We combine interdisciplinary approaches, including single cell genomics, chromatin conformation capture approaches, and imaging with computational methods such as machine learning, to uncover general principles of genome regulation. The interdisciplinary and international team combines both experimental and computational (wet and dry) approaches, and is a highly collaborative environment to perform cutting-edge research.
We are looking for a highly motivated computational biologist/bioinformatician (either post-doc or staff position) to collaborate within the team in diverse projects. You will work on diverse types of NGS data, collaborating with experimental and computational biologists in a dynamic, open and creative culture. The successful candidate will lead data analyses to examine different aspects of genome regulation, such as large-scale chromatin conformation capture data in different conditions, including mutants, to undercover 3D principles of how enhancers interact with their target gene’s promoters. A second direction involves extensive single cell data of different modalities across different conditions.
As part of the research team, you will participate in multiple projects and develop your own project in collaboration with lab members, and shape your research profile in several of the following areas:
Conduct integrative data analysis for biological discovery
Chromatin conformation capture data at large-scale
Single-cell ATAC and RNA-seq data analysis at ultra-large scale
Mutant and natural sequence variation data
Develop pipelines that other lab members can use
Model the impact of perturbations on 3D chromatin interactions
Discern the relationship between chromatin state and gene expression
Model cell states, transitions and genetic dependencies
Contract duration: 3 years
Grading: 5 or 6; depending on experience and qualifications
A PhD in computer science, bioinformatics or an equivalent related field
Extensive experience with large-scale NGS data analyses
Intermediate-to-high level skills in R and Python programming are required
Experience with workflow management systems (e.g. Snakemake) and cluster computing environments (e.g. SLURM) are highly desired
Excellent organizational skills and enjoy working in an independent and proactive manner in a highly motivated, collegial international scientific environment
Ability to present and visualise results in an intuitive manner e.g. Rmarkdown
Interests in computational algorithms, sequence alignments and biological discovery are a plus.
You might also have
You are self-motivated and excited by contributing to biological discoveries, you are interested in interdisciplinary cuting-edge science, enjoy collaborative work and like to communicate concepts and results and brain-storm with colleagues.
Procedencia : EMBL
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