We are looking for an outstanding postdoctoral researcher for a 2-year bioinformatics project to work with spatially resolved single-cell gene expression data. This next-gen sequencing based expression method, denoted spatial transcriptomics, is being developed at Science for Life Laboratory (SciLifeLab) and at Karolinska Institutet (KI). The successful postdoctoral researcher will perform different types of RNA sequencing analysis such as quantitative count, differential expression and fusion gene protocols, establish pipelines for a series of sample types (human, mouse, normal and disease) and develop down stream methods to annotate and validate single cell gene expression. Further she/he will integrate these methods into the framework of spatially resolved single-cell expression of clinical tissue samples, aiming to develop novel diagnostics methods.
The postdoctoral researcher will work in Prof Joakim Lundeberg’s lab at the Science for Life Laboratory (SciLifeLab) in close collaboration with the Karolinska Institutet. The current spatial transcriptomics team at SciLifeLab include wetlab, bioinformaticians and IT expertise and collaborate with leading researchers in fields such as brain, heart, cancer, autoimmunity and plants. We expect the candidate to work as an integrated part of a large research team, communicating and co-planning analyses with colleagues, and will have regular presentations of results to the group.
Eligibility and Assessment Criteria
The successful candidate has a PhD in Bioinformatics, computational biology or a related field. Experience with analysis of high-throughput data is required and experience with RNA sequencing data is a strong plus. Excellent communication skills, a proactive and constructive personality as well as fluent English speaking and writing abilities are expected. The ability to complete the assigned tasks is essential.
The candidate should be highly motivated for doing scientific research and should have well developed analytical and problem solving skills.
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