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.