Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Our client is a global genetic testing and diagnostics company specializing in non-invasive, cell-free DNA (cfDNA) testing, with a focus on women's health, oncology, and organ health.

Requirements

This internship program offers an excellent opportunity to gain hands-on experience in software engineering, bioinformatics, computational biology, and data analysis. Interns work closely with teams of software engineers, scientists, and researchers on projects aimed at building production-grade applications, pipelines, and infrastructure. The program offers three tracks.

Candidates are matched to a track based on their skills and interests. Track 1: Clinical Genomics Engineering The team: Builds and maintains platforms for technical quality control, variant interpretation, variant classification, and clinical reporting of the Client's molecular diagnostic tests. The team ensures clinical experts are in the loop for all of the Client's patients.

and iterate on deliverables Track-specific

Responsibilities

: Support the development and maintenance of scalable services and internal applications using languages like Java, Python, and JavaScript/TypeScript Assist in implementing and optimizing CI/CD pipelines, including developing comprehensive unit tests Learn and apply cloud infrastructure concepts (e.g., AWS services like S3, Lambda, or RDS) to improve performance and cost-effectiveness Collaborate with cross-functional teams (Product Managers, Bioinformatics Scientists) to gather

Nice To Have

: Exposure to bioinformatics or clinical genomics concepts (variant interpretation, clinical sample processing, diagnostic report generation) Familiarity with public domain data sources like ClinVar or gnomAD Basic understanding of full-stack concepts, including front-end frameworks (React/Angular) or REST API design Track 2: Informatics Software Engineering (LIMS) The team: Builds and maintains laboratory information management systems (LIMS) to track and orchestrate patient cases and samples in the Client's high-throughput laboratories. These systems handle millions of patient samples per year and ensure complex laboratory workflows scale seamlessly — the beating heart of the Client's digital infrastructure.

: Experience with full-stack development concepts (e.g., React, front-end/back-end application development) Exposure to cloud computing platforms (AWS, Azure, GCP) or Infrastructure as Code (IaC) principles Basic understanding of biological or genomic data, LIMS, or LES (Laboratory Execution Systems) Track 3: Production Bioinformatics Software Engineering The team: Builds and maintains analytical

Software Engineer Intern - Bioinformatics & Genomics