LanceSoft
Job Title: Research Data Scientist - Oncology
Location: Foster City, CA
Contract Duration: 6 Months
Pay Range: $40.00 - $60.00 USD hourly on W2
Job Responsibilities We are looking for a motivated bioinformatics contractor to join our research data science team. The candidate will support research oncology projects.
The main responsibilities of the successful candidate will include: • 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.
Job Responsibilities We are looking for a motivated bioinformatics contractor to join our research data science team. The candidate will support research oncology projects.
The main responsibilities of the successful candidate will include: • 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.