Bioinformatics Engineer

Must Have - Experience with any ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js Role Summary As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Responsibilities: • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. Qualifications: 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools. • Experience with sequencing data analysis, bioinformatics, variant data analysis. • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Cloud Computing: AWS. • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, JavaScript/typescript, R, etc. • Containerizing: Docker. • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs). • Web Frameworks: Python Flask, React Native, Bootstrap. • Reporting: Familiarity with R Markdown, Jupyter Notebook. • Visualization: Experience with any ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js. • Source Control: Git. • CI/CD: GitHub CI/CD. • Familiarity with AI developer tools like GitHub Copilot. • Understanding of environment management. • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus.