Planet Pharma
https://cdn.haleymarketing.com/templates/63514/logos/square.png
https://www.propharmagroup.com
https://www.propharmagroup.com
true
Target PR Range: 42-56/hr
*Depending one experience
Job description
We are seeking a Bioinformatician to join our cross-functional team and provide advanced bioinformatics support for studies of age-related diseases. The successful candidate will use a variety of ‘omics data to test and refine biological hypotheses in coordination with wet-lab and computational colleagues. Key responsibilities include:
• upstream processing of ‘omics data (QC, normalization, exploratory data analysis).
• downstream processing of bulk, single-cell, and/or spatial transcriptomic data (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization).
Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs. Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edgeR/limma). Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply. A background in human disease biology is helpful but not required.
*CO/NYC candidates might not be considered
Bioinformatics Analyst III
Posted: 10/07/2024
2024-10-07
2024-11-12
Employment Type:
Contract
Job Category: Data Sciences
Job Number: 614546
Is job remote?: Yes
Country: United States
Job Description
Target PR Range: 42-56/hr
*Depending one experience
Job description
We are seeking a Bioinformatician to join our cross-functional team and provide advanced bioinformatics support for studies of age-related diseases. The successful candidate will use a variety of ‘omics data to test and refine biological hypotheses in coordination with wet-lab and computational colleagues. Key responsibilities include:
• upstream processing of ‘omics data (QC, normalization, exploratory data analysis).
• downstream processing of bulk, single-cell, and/or spatial transcriptomic data (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization).
Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs. Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edgeR/limma). Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply. A background in human disease biology is helpful but not required.
*CO/NYC candidates might not be considered
Share This Job:
Related Jobs:
Login to save this search and get notified of similar positions.Although this hasn't been an issue at Planet Pharma, the staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.