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, Dev Ops and other data analysis tools.

Work Experience / Skills:

• Bioinformatics tools such as Dragen, bwa, VEP, FastQC, Multi

QC, 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:
Git Hub CI/CD.

• Familiarity with AI developer tools like Git Hub Copilot.

• Understanding of environment management.

• Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus.