Bioinformatics Software Engineer

Ashion Analytics
Job Location
Phoenix, AZ 85004

Ashion Analytics offers outstanding benefits to include:




401 (k)

Job Description

Ashion Analytics is looking for an experienced Bioinformatics Software Engineer. We have an opening for a skilled, experience, and self-motivated software engineer who has a demonstrated knowledge and interest in software and bioinformatics.


Essential Duties and Responsibilities:  

  • Design, implement, document and sustain mission critical software applications

  • Collaborate with IT, bioinformatics and clinical genomics scientists on streamlining bioinformatics and lab management workflows

  • Contribute to robust growth and scalability of organization by implementation of software engineering best practices





Education and/or Experience:


  • Bachelor’s degree or higher in computer science, bioinformatics, or related field

  • 5+ years' experience in an object oriented programming language (C# preferred)

  • Experience with database design and development

  • Experience in a high performance computing environment

  • Experience with next generation sequencing and related bioinformatics are a strong plus

  • Excellent problem solving and troubleshooting skills

  • Experience with source control technologies and strategies

  • Knowledge of JavaScript/HTML and client-side web development helpful


How to Apply

Please email cover letter and resume to:


About Our Organization

Ashion Analytics

In 2014, Translational Genomics Research Institute’s (TGen’s) CLIA laboratory became Ashion Analytics, LLC. Ashion Analytics™ was originally developed using the clinical genomic sequencing and analysis technology utilized in the world’s first clinical studies for personalized cancer treatment. We continue to work with TGen® to provide clinical genomic sequencing for several important clinical studies.

We currently serve several externally funded molecular profiling clinical studies (pancreatic cancer, melanoma, multiple myeloma, neuroblastoma, lung cancer, brain cancer). Our goal is to accelerate the adoption of genomic analysis for clinical decision support to improve the treatment of patients with refractory, rare, or aggressive disease.

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