Bioinformatics Analyst II Transcriptomics focused
Bioinformatics Analyst II Transcriptomics focused
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1 Vacancy
Job Description
Job description:
We are seeking a motivated Bioinformatics Scientist to join our crossfunction team and support target identification and evaluation efforts. The successful candidate will work in synergy with crossfunctional and interorganizational teams of research scientists to apply refine and expand established workflows for effective multiomic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data.
Requirements:
- Masters degree with 2 years experience or PhD in the quantitative sciences (Bioinformatics Computer Science Computational Genetics Mathematics Statistics or a related field).
- Experience in curating checking and processing transcriptomic datasets (such as bulk and singlecell RNASeq) and corresponding downstream analyses (e.g. cell type annotation differential gene expression analysis gene set enrichment analysis results visualization and result interpretation).
- Demonstrated experience in the analysis and integration of NGS data.
- Familiarity with the construction and of bioinformatics workflows.
- Strong proficiency in R and/or Python programming for bioinformatics workflows.
- Knowledge and proficiency in basic statistical concepts.
- Proficiency in operating in a Unix/Linux and HighPerformance Computing (HPC) environment.
- Experience with code reproducibility e.g. managing github repositories.
- Prior research experience in studying immunological diseases areas is a plus.
Skills:
- Strong experience processing and analyzing Transcriptomic (bulk RNAseq & scRNAseq) data.
- Ability to critically evaluate experimental design QC and suggest improvements.
- Strong proficiency in R and/or Python programming for bioinformatics workflows.
- Experience working in HPC and cloud environment.
- Experience with code reproducibility e.g. managing github repositories.
Employment Type
Full Time
