Company Overview:

Genomize, a bioinformatics company established in 2014, specializes in analyzing genomic data. Genomize’s SEQ Platform is dedicated to the analysis of Next Generation Sequencing (NGS) data, providing a comprehensive solution that ranges from processing raw data to generating clinical reports. The SEQ Platform has been utilized in diagnosing over 250,000 patients across more than 350 hospitals and labs in over 20 countries to date. Genomize consistently delivers its diverse academic assets to users with high accuracy, speed, and reliability.

Role Overview:

As a Senior Bioinformatician at Genomize, you will play a pivotal role in developing clinical bioinformatics pipelines, applying your advanced skills to address complex data analysis challenges when necessary. Your contribution is vital to our software development team and significantly influences project outcomes. Working alongside a committed team, you will impart your expertise and promote a culture of innovation and creativity.

Qualifications:

• A Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field is required 
• An advanced degree (Master’s or Ph.D.) or equivalent professional experience is highly preferred
• Extensive knowledge in the field of bioinformatics
• Expertise in the analysis of Next Generation Sequencing (NGS) data
• Expertise in software development as a team (GIT, Tests etc.)

Key Responsibilities:

• Design and oversee bioinformatics pipelines and software solutions
• Offer expert consultancy on data analysis, as well as in defining project goals and research objectives
• Mentor and support junior team members
• Lead large-scale bioinformatics projects, ensuring their success and the achievement of key milestones

Essential Skills:

• Proficiency in using the Unix Terminal for command-line operations, file management, and process execution
• Advanced skills in Python programming, encompassing object-oriented design, unit testing, and Command Line Interface (CLI) development
• Experience in automating workflows using tools like Nextflow or Snakemake
• Proficiency in using Docker for containerizing and managing bioinformatics workflows
• A solid understanding of Git for version control and collaborative project management
• Expertise in interpreting genetic variants and familiarity with ACMG/AMP guidelines

Desirable Skills:

• Knowledge in utilizing Elasticsearch for managing bioinformatics data, which includes indexing and optimizing queries
• Proficiency in SQL for designing and managing databases that store and query large-scale biological data
• Competence in developing and maintaining biological APIs using Flask or comparable web frameworks