Job Description:
We are accepting applications for multiple postdoctoral research associates in the Translational Bioinformatics Lab at the University of Miami, Sylvester Comprehensive Cancer Center to work on cancer genomic research. The positions will be supported by NCI U24 PGDAC (Ptoteogenomic Data Analysis Center) for CPTAC (Clinical Proteomic Tumor Analysis Consortium) grant and two other NCI R01 grants focusing on translational bioinformatics research for colorectal and triple-negative breast cancers. We are seeking highly motivated individuals to implement innovative computational approaches for analyzing high throughput genomic and proteogenomic data. Research directions include next generation sequencing data analysis, biomarker discovery, multi-omics data integration, cancer subtype discovery and network analysis. The candidate will have opportunity to work on multi-omics and clinical outcomes data generated by CPTAC and TCGA. Our lab has close connection with the Biostatistics and Bioinformatics Shared Resource at Sylvester Comprehensive Cancer Center, which provides additional opportunities to work with outstanding cancer genomic researchers on data generated from cutting-edge genomic technologies at Sylvester. Qualifications: Ph.D. in Bioinformatics, Biostatistics, Statistics, Computational Biology, Genetics, Computer Science, or a related field. Experience with machine learning/statistical learning is preferred. Excellent communication skills in English (both verbal and written) is desirable. Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis is required.
Additional Info:
Start date: As soon as possible How to Apply: Applicants interested in this position should send their resume or CV to: Dr. Steven Chen Director of Biostatistics and Bioinformatics Sylvester Comprehensive Cancer Center University of Miami, School of Medicine Email: steven.chen@med.miami.edu[Click Here to Access the Original Job Post]
We are accepting applications for multiple postdoctoral research associates in the Translational Bioinformatics Lab at the University of Miami, Sylvester Comprehensive Cancer Center to work on cancer genomic research. The positions will be supported by NCI U24 PGDAC (Ptoteogenomic Data Analysis Center) for CPTAC (Clinical Proteomic Tumor Analysis Consortium) grant and two other NCI R01 grants focusing on translational bioinformatics research for colorectal and triple-negative breast cancers. We are seeking highly motivated individuals to implement innovative computational approaches for analyzing high throughput genomic and proteogenomic data. Research directions include next generation sequencing data analysis, biomarker discovery, multi-omics data integration, cancer subtype discovery and network analysis. The candidate will have opportunity to work on multi-omics and clinical outcomes data generated by CPTAC and TCGA. Our lab has close connection with the Biostatistics and Bioinformatics Shared Resource at Sylvester Comprehensive Cancer Center, which provides additional opportunities to work with outstanding cancer genomic researchers on data generated from cutting-edge genomic technologies at Sylvester. Qualifications: Ph.D. in Bioinformatics, Biostatistics, Statistics, Computational Biology, Genetics, Computer Science, or a related field. Experience with machine learning/statistical learning is preferred. Excellent communication skills in English (both verbal and written) is desirable. Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis is required.
Requeriments :
Skills :
- Biomarker Discovery
- genomic
- Machine Learning
- Next Generation Sequencing
- Programing in Python
- Programming in PERL
- Programming in R
- Statistics
Areas :
Additional Info:
Start date: As soon as possible How to Apply: Applicants interested in this position should send their resume or CV to: Dr. Steven Chen Director of Biostatistics and Bioinformatics Sylvester Comprehensive Cancer Center University of Miami, School of Medicine Email: steven.chen@med.miami.edu[Click Here to Access the Original Job Post]