Requirements:
- Typically requires a masters degree or PhD in bioinformatics, computational biology, mathematics, statistics, physics, computer science or related discipline and 3-5+ years of experience in a similar position including general experience in Life Sciences, Genomics or Pharmaceutical industries.
- Experience with statistical and mathematical modelling with genomic data; machine learning techniques, Bayesian statistics and multivariate analysis are a plus.
- Strong data analysis skills using R, Python, or other modern data analysis languages.
- Understanding of multiple -omic technologies such as: genomics, pharmacogenomics, transcriptomics, proteomics and metabolomics.
- Knowledge of current bioinformatics/genomics/proteomics resources available at NCBI, Ensembl, UCSC, Broad Institute, etc.
- Experience with bioinformatics tools such as FastQC, IGV, BWA, STAR, CellRanger or GATK.
- Experience with variant annotation tools and knowledgebases such as KRAKEN, PHARMGKB, Nirvana, SRA or SnpEff.
- Experience with version control systems (e.g., GitHub).
- Strong programming and scripting; demonstrate ability to write readable, well-documented and unit-tested code.
- Must have proficient written, communication and presentation skills with the ability to present to both scientific and corporate audiences.
- Must be independent and strategically minded.
