id: NDkzNjY0NiA3

reference: 4936646

documentId: 4936646

connectionPointId: 7

lastModificationDate: 1548677588023

stillingsbetegnelse:
Bioinformatician (AC-TAP FU) to Division of Cell and Gene Therapy, Center for Translational Neuromedicine

jobbeskrivelse:
Overview of the research team

Center for Translational Neuromedicine (CTN) at the Faculty of Health and Medical Sciences of the University of Copenhagen is seeking a highly trained and motivated bioinformatician to join its international and interdisciplinary team.

Conducting basic and clinical research, the center is comprised of two collaborating divisions with the combined aim of understanding the biology of human glia, specifically glial progenitor cells, oligodendrocytes, and astrocytes, and their involvement in neurodegenerative and psychiatric diseases including disorders of central myelin (multiple sclerosis and leukodystrophies), Huntington’s disease, schizophrenia and frontotemporal dementia. Consult our website (http://ctn.ku.dk) for more information on research topics.

Work abstractJV_description

The center conducts extensive laboratory experiments generating vast amounts of data including but not limited to messenger, small, and micro RNA sequencing, quantitative proteomics, CHiP, ATAC, and methylation sequencing. For the studied diseases, our aim is the construction of glial regulatory pathways on multiple molecular levels, and to define their patterns of dysregulation under the disease condition. For a wide array of multi-omics datasets, the selected candidate will be performing computational analyses ranging from primary quality control of raw data to identification and prioritization of disease-dysregulated genes and pathways, as well as integration of data derived from these disparate datasets into coherent regulatory frameworks. As a resident bioinformatician, the selected candidate will be involved in multiple projects at a time, carrying out daily responsibilities in data analysis, storage, and web maintenance; work in collaboration with a diverse team of international researchers in order to provide assistance in experimental design; aid in optimization of existing computational workflows and incorporation of new methodologies as needed; and to deliver actionable results providing new hypotheses and identifying the most promising targets for future experiments.

Duties and responsibilities

• Storage and maintenance of raw data including but not limited to microarrays, sequencing of various RNA species, CHiP-seq, ATAC-seq, quantitative proteomics, and DNA methylation sequencing
• Primary analysis workflows including demultiplexing, read trimming, read quality assessment, alignment and feature quantification for datasets drawn from multiple platforms including mRNA-seq, microRNA-seq, CHiP-seq, ATAC-seq
• Secondary analyses of processed data including expression profiling (hierarchical clustering, PCA), identification of differentially regulated genes and pathways, functional annotation, miRNA target identification, and transcription factor binding site prediction
• Providing bioinformatics support and training to the research team, including assistance in the analysis and interpretation of biological datasets, and the recommendation of best practices for experiments involving next generation sequencing technologies
• Maintenance of the lab website constructed for data dissemination and interactive analysis

Necessary qualifications

• PhD in bioinformatics, biotechnology, computational biology, molecular neurobiology, or a related field
• Excellent skills in statistical programming and data visualization in R and Bioconductor (DESeq2, edgeR, RUVSeq, LIMMA)
• Excellent skills in Python programming
• Extensive experience with software tools for various next generation sequencing tasks including quality control and preprocessing (FastQC, trimmomatic, samtools), read alignment (Subread, Bowtie2, STAR) and quantification (HTSeq, featureCounts), and peak calling for CHiP-seq and ATAC-seq data (macs2)
• Experience with small RNA target prediction (TargetScan, miRbase, TarBase)
• Experience with integrative analysis of data drawn from multiple sequencing platforms and levels
• Experience in pipeline development via Python or Perl programming languages
• Experience in UNIX/Linux environment and shell scripting
• Strong knowledge of statistics, linear model building, principal component analysis, and factor analysis
• Experience with functional annotation tools and databases such as GSEA, Gene Ontology, Ingenuity Pathway Analysis, ToppCluster, KEGG, and DAVID
• Experience with analysis of microarray platforms such as U133 and HuGene2
• Keen interest in underlying biology, neuroscience, and disease modeling
• Excellent English writing and communication skills Demonstrated ability to distill vast amounts of biological data into interpretable and actionable results that could serve in generating new hypotheses, defining future avenues of research and identifying potential new therapeutic targets

Terms of salary and employment

Employment will be in accordance with the provisions of the collective agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). According to the collective agreement, a monthly pension contribution of 17.1% is added. Employment level will be academic employee (AC-TAP FU (as technical-administrative personnel)).

The position is full time.
Working hours are 37 hours per week.
The position is available for 1 year with the possibility of permanent appointment.
The successful candidate will report directly to Professor Steven Goldman.

Start date: As soon as possible.

Application deadline

24 February 2019

Please include

• Cover letter
• Curriculum vitae illustrating relevant experience
• Full contact details of 3 references

For further information, please contact the center’s administrator Ann Christensen, ann.christensen (at) sund.ku.dk.




numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2433

abstractJV_contact_0: Please apply using one of the specified channels

positionTypeCode: directhire

contractTypeCodes_0: fulltime

Arbejdsgiver Navn: KU - SUND - PANUM KBH N

source: DK-STAR