What are the responsibilities and job description for the Bioinformatics Analyst II (Transcriptomics focused) position at Katalyst CRO?
Job Description
We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data.
Roles & Responsibilities
Master's 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 single-cell RNA-Seq) 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 execution 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 High-Performance 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.
We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data.
Roles & Responsibilities
Master's 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 single-cell RNA-Seq) 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 execution 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 High-Performance 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.
