BS Computer Science, Bioinformatics, Information Systems, etc. MS preferred.
Data Structures / Algorithms Coursework

Knowledge, Skills And Abilities

Containerization: Docker (preferred), Singularity
Orchestration: DNAnexus (preferred), SevenBridges, Azure / AWS Batch, Cromwell, Kubernetes, Toil, miniWDL, AWS Omics (preferred)
Orchestration Language: WDL (preferred), CWL, YAML, Nextflow, Snakemake
Cloud: AWS, Azure, Google, AliBaba
Programming Language: Python (preferred), R, Java
Source control: GitLab (preferred), Bitbucket, GitHub, TFS
Extensive analytic troubleshooting skills
Excellent communication and organizational skills, especially for problem solving under pressure
Strong technical documentation skills
Eagerness to acquire new skills in genetics
Ability to thrive in a fast-paced environment and manage multiple tasks independently

Preferred Technologies

High performance computing on a local cluster
Bioinformatics Tools: GATK, SAMtools, bedtools, bwa, primer3, etc.
Security / Privacy: HIPAA, GDPR
Biology: Next-generation sequencing, Sanger sequencing, MLPA, PCR, Southern Blot
Data science: Machine learning, deep neural networks