Software Engineer Intern - Bioinformatics & Genomics
Orion Innovation
| Company | Orion Innovation |
| Category | Uncategorised |
| Location | Serbia |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 16 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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. The Client's engineering teams build and maintain the production software platforms and bioinformatics infrastructure that translate raw genomic data into clinically actionable insights for a global patient population — handling millions of patient samples per year with strict quality, compliance, and turnaround time 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. Track-specific responsibilities:
Assist in the design and implementation of software components using Python and/or Java for Tertiary Analysis workflows (e.g. variant management systems, SOP automation, technical review systems)
Investigate and support tools for variant classification and case review systems
Collaborate with engineering teams to analyze and document existing front-end applications built with React or Angular
Track-specific 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. 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 requirements and iterate on deliverables
Track-specific nice to have:
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: