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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.
This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients.

This person can work 100% remote and must be located in the US.

• 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.
• Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review
• Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement.
• Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners.

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.

Preferred Work Experience / Skills:

Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtoolsExperience with sequencing data analysis, bioinformatics, variant data analysisPipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc.Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databasesCloud Computing: AWSInfrastructure management: Terraform, AWS CDKProgramming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc.Containerizing: DockerExperience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs)Web Frameworks: Python Flask, React Native, BootstrapReporting: Familiarity with R Markdown, Jupyter NotebookVisualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.jsSource Control: GitCI/CD: Gitlab CI/CD, Github CI/CDUnderstanding of environment managementExperience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus.

Education:
Bachelor’s Degree(Required)
Master’s Degree

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets