Bioinformatics Engineer

Job Title - Bioinformatics Engineer

Location Secaucus, NJ (Remote)

Job Details:

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.

Experience : 5-7 Years

Qualification : Bachelor of Technology/ Engineering

Skill (Primary): Microsoft Dynamics (APPS)-MsD-General-Technical-Business Analysis

Must