Genomics Data Analyst
Tasks
- Build reproducible workflows for HPC and cloud
- Conduct variant calling for SNVs indels and structural variants
- Perform data quality control and harmonization
- Process WGS and WES datasets
- Use Git and containers for reproducible environments
- Use Python and R for data processing and QC visualization
- Write and maintain analysis pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
BWA | Cloud Computing | Cloud platform | Cromwell | Data harmonization | Docker | GATK | Genotype imputation | Git | Google Cloud | Google Cloud Platform | HPC | Haplotype phasing | Linux | Long-read | Long-read Sequencing | Nextflow | Population genetics | Python | Quality Control | R | Samtools | Sequence quality control | Singularity | Slurm | Snakemake | Structural Variant | Structural variant calling | Variant calling | WDL
Education
Roles
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