Senior Bioinformatics Developer

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🕒 July 5

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Saphetor

51 - 200 employees

Founded 2014

🧬 Biotechnology

🤖 Artificial Intelligence

☁️ SaaS

Biotechnology • Artificial Intelligence • SaaS

Saphetor is a company that develops the VarSome Suite, an AI-driven set of bioinformatics software tools for large-scale human genome (NGS) data analysis and interpretation for research and clinical use. Their offerings include VarSome. com (a community-driven variant knowledge base and search engine), VarSome Premium (a subscription with enhanced annotations and analytics), VarSome Clinical (a CE‑IVDR-certified, HIPAA-compliant clinical platform with automated variant classification), and VarSome API for integration. Saphetor supports clinicians and researchers with automated, standards-based variant interpretation, extensive aggregated genomic resources, and scalable SaaS delivery.

📋 Description

• Build and maintain a pipeline for calling variants from genomic data, both ad hoc and using modern pipelining tools like Prefect • Ensure pipelines are reproducible, scalable, and adhere to best practices in data analysis • Design and code robust tools for the analysis of genomic data • Optimize existing code for efficiency and scalability

🎯 Requirements

• Undergraduate degree in Bioinformatics/Computational Biology, Computer Science, or a related field • Proven experience in bioinformatics algorithm development and pipeline construction • Proficiency in Python • Other scripting languages, e.g. Perl, are a plus • Strong understanding of genomics, genetics and biology • Familiarity with databases, data management, and integration techniques • Experience with version control systems (e.g., Git) and, ideally, containerization (e.g., Docker) • Excellent problem-solving skills and the ability to work in a collaborative, interdisciplinary environment • At least 4 years of working experience in a Linux environment • Strong command of the English language, both written and spoken

🏖️ Benefits

• Remote work with occasional meetings • Endless learning opportunities while transferring new technologies from academics to clinical practice

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