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VarSome.com is the world’s leading website for professional human genetics. VarSome Clinical is a comprehensive decision support software platform for genetic testing. Saphetor is pioneering the use of big-data sequencing technology, such as exome and whole-genome sequencing, for clinical practice. We are involved in both clinical research and diagnostics, providing our clients with quality analysis and interpretation of next-generation DNA sequencing (NGS) data.
Job Responsibility:
Develop our core C++ applications and library for importing and analyzing genetic data
Write reusable, testable, and efficient code, including unit & regression tests
Take complete ownership of projects (ranging from a few days to a month) to deliver a working end-to-end implementation, including unit tests & testing
Optimize & architect our platform for maximum speed, high availability and scalability
Maintain & improve our internal high-performance clinical annotation tools and the custom databases built, optimized for genetics
Contribute to the documentation of software architecture, design and implementation details
Requirements:
At least 4 years of commercial C++ development experience, using templates, STL containers, smart pointers, memory management and multithreading
BSc and/or MSc degree in Computer Science, Engineering or Mathematics
Hands-on experience with relational databases, optimizing queries and table schemas for optimal performance
Good experience with distributed cloud-based computing and big-data systems
Familiarity with agile methodologies and the ability to adapt to a fast-paced development environment, actively taking in code reviews, scrums, technical discussions etc
Very good understanding of fundamental application design principles and object-oriented design, in order to build & maintain a large high-quality code base
Excellent written & oral communication skills in English
Nice to have:
Preferably worked with C++ 17 or later version
Experience working with in-memory databases (Redis) and gRPC services is considered a plus
Very good knowledge of statistics, genetics, biology or machine learning techniques is considered a plus
What we offer:
A position in a fascinating healthcare growth domain, at the cutting edge of technology and research
A competitive compensation package combined with additional benefits
Endless learning opportunities, while transferring new technologies from academics to clinical practice all over the world
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