Planet Pharma
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Target PR Range: 30-40/hr
*Depending one experience
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.
Qualification:
• 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.
*CO/NYC candidates might not be considered
Bioinformatics Analyst II (Transcriptomics focused)
Posted: 03/10/2025
2025-03-10
2025-04-24
Employment Type:
Contract
Job Category: Data Sciences
Job Number: 618113
Is job remote?: Yes
Country: United States
Job Description
Target PR Range: 30-40/hr
*Depending one experience
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.
Qualification:
• 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.
*CO/NYC candidates might not be considered
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