Bioinformatics Engineer, Secaucus

Bioinformatics Engineer

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.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.