DESCRIPTION

• Benchmarking and fine-tuning tools for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants
• Develop algorithms for variant prioritisation / classification to improve their diagnostic potential or actionability
• Performing custom computational analysis for a range of projects in rare disease/germline or cancer/somatic samples and carefully document results using reproducible computing principles
• Developing, prototyping, and validating new features for genome analysis in collaboration with internal and external stakeholders
• Work with other squad members to ensure that solutions are implemented in a robust, scalable, fit for clinic, accredited, production ready for converting prototypes to production pipelines
• Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities
• Contribute to the publication and dissemination of our learnings in the form of scientific papers, white papers, conferences, etc.
• Establishing general bioinformatics resources for day-to-day use by colleagues
• Know and understand the meaning behind our virtues of Empathy, Integrity, Focus, Connection, Speed, Curiosity, Impact and embody them in all aspects of your role

REQUIREMENTS

• Excellent knowledge in cancer genomics, approaches to call somatic variation and interpret cancer genomes
• Strong knowledge of statistics and/or machine learning
• Strong knowledge of high throughput sequencing algorithms and available resources. Experience with full cycle of analysing NGS data from sequencing QC to annotation and prioritization of variants.
• Strong programming skills (Python, R)
• Excellent technical writing skills
• A decent publication record demonstrating their ability to conceive and carry to conclusion scientific investigations
• Excellent ability to represent and visualise data to derive insights
• A demonstrable ability to cope under pressure and deliver to deadlines
• Experience in handling large data sets
• Ability to communicate effectively within a multidisciplinary team
• Flexible and co-operative approach to colleagues
• Experience and flexibility to collaborate on code with others including good working knowledge of Git
• Ability to work independently and to show initiative within a team
• Ability to prioritise and balance competing demands

COMPENSATION

HOW TO APPLY