mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical methods for genetics and -omics data analysis and working knowledge of high dimensional biomarker platforms (e.g., next generation sequencing, transcriptomics, proteomics, flow cytometry, etc.). Strong programming skills in R and Python. Demonstrated knowledge of More ❯
mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical methods for genetics and -omics data analysis and working knowledge of high dimensional biomarker platforms (e.g., next generation sequencing, transcriptomics, proteomics, flow cytometry, etc.). Strong programming skills in R and Python. Demonstrated knowledge of More ❯
per day depending on experience. essential skills: • PhD/Masters degree in bioinformatics, data/computer science or related field • >3 years experience in applied bioinformatics and Illumina NGS omics data • Hands on-experience with DNASeq analysis pipelines from BCL/FASTQ to VCF • Experience with CNV calling from WGS/WES • Experience with somatic variant calling in an Oncology More ❯
