Qualifications
The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job successfully.
Required:
- PhD in Computational Biology, Bioinformatics or related field or Master’s degree and 2+ years of experience in Computational Biology, Bioinformatics or related fields, or equivalent combination of training and experience
- Proficiency using Python for data analysis
- Proficient in NGS data processing in a Linux computing environment
- Some experience in R, shell scripting
- Foundation in basic genomics concepts
- Familiarity with publicly available bioinformatics databases, tools, algorithms, and websites, such as NCBI, UCSC, ENSEMBL, ENCODE, 1000 Genomes or NHGRI
- Experience using visualization tools (ggplot2, seaborne, etc.)
- Basic understanding of statistics and algorithms associated with genomics analysis
- Experience working independently and within a team depending on project needs
- Strong communications skills
Preferred:
- Software engineering experience with Python
- Experience in multiple NGS assays such as RNAseq, bisulfite sequencing, or single cell analysis
- Versioning software (git, etc.)
- Experience using Rmarkdown or Jupyter notebooks
- Experience with SQL databases
