Integrated Resources
Research Data Scientist - Oncology
Integrated Resources, Foster City, California, United States, 94420
Job Title:
Research Data Scientist - Oncology Job location:
Foster City,CA Job Duration:
6 Months (possibility of extension) Payrate:
$60.00/ hr on w2
Job Summary:
We are looking for a motivated bioinformatics contractor to join our research data science team. The candidate will support research oncology projects at Client. Duties and Responsibilities:
Programming and troubleshooting of bioinformatics analysis workflow. Performing the analysis of multiple high-throughput omics data sets, including scRNASeq, TCR-Seq, WES, ATAC-Seq, and proteomics. Performing biological signatures and pathways analysis. Curation of gene signatures and pathways from literatures or public domains. Other bioinformatics analysis in support of research oncology projects as assigned. Knowledge, Experience and Skills:
The ideal candidate should have advanced degree in bioinformatics, computational biology, biostatistics, computer sciences, or closely related fields. Prior working experience in biopharmaceutical industry is preferred. The candidate should have fundamental knowledge in cancer biology and immunology. The candidate should have general knowledge of statistical analysis. Strong programming skills such as R, Perl, or Python. The experience with open-source bioinformatics tools and packages to analyze large omics data, e.g., TCGA, GTEx, CCLE DepMap, is required. The candidate will also be able to work semi-independently and possess effective communication skills, proactive working attitude, and a strong work ethic.
Research Data Scientist - Oncology Job location:
Foster City,CA Job Duration:
6 Months (possibility of extension) Payrate:
$60.00/ hr on w2
Job Summary:
We are looking for a motivated bioinformatics contractor to join our research data science team. The candidate will support research oncology projects at Client. Duties and Responsibilities:
Programming and troubleshooting of bioinformatics analysis workflow. Performing the analysis of multiple high-throughput omics data sets, including scRNASeq, TCR-Seq, WES, ATAC-Seq, and proteomics. Performing biological signatures and pathways analysis. Curation of gene signatures and pathways from literatures or public domains. Other bioinformatics analysis in support of research oncology projects as assigned. Knowledge, Experience and Skills:
The ideal candidate should have advanced degree in bioinformatics, computational biology, biostatistics, computer sciences, or closely related fields. Prior working experience in biopharmaceutical industry is preferred. The candidate should have fundamental knowledge in cancer biology and immunology. The candidate should have general knowledge of statistical analysis. Strong programming skills such as R, Perl, or Python. The experience with open-source bioinformatics tools and packages to analyze large omics data, e.g., TCGA, GTEx, CCLE DepMap, is required. The candidate will also be able to work semi-independently and possess effective communication skills, proactive working attitude, and a strong work ethic.