57 Tech / Digital / IT jobs in Burghwallis, Doncaster

Our Lead Bioinformatics Engineer is an experienced bioinformatician with strong competencies in software engineering, data engineering and/or infrastructure. This role is expected to provide technical expertise and leadership across multiple squads in the bioinformatics directorate. In particular, this Lead role will play a key part in shaping and driving genomic healthcare in Genomics England by leading the exploration of variant annotation tooling, process and data validation efforts across the healthcare service. As such, an interest and expertise in variant annotation and the practical issues of these system will be highly beneficial. Additionally, the successful candidate will lead the development of best practices across the chapter and directorate to ensure the delivery of high-quality, scientifically valid, production-ready code and contributes to their adoption across the company. The post holder will be responsible for the recruitment, mentoring and line management of core and senior bioinformaticians across the Healthcare Tribe. Everyday responsibilities include:

• Provide technical leadership at the chapter level and across multiple squads.
• Participate in Chapter and Directorate managerial meetings and associated tasks.
• Lead on design decisions for projects across the chapter.
• Provide Subject Matter Expertise in collaboration with the Scalable Tech service.
• Foster internal and external networks of collaborators to avoid duplication of efforts, bring innovation and promote knowledge sharing.
• Define best practices for the chapter.
• Bring innovative thinking in bioinformatics and software engineering across the chapter and directorate.
• Proactively keeping up to date with the relevant areas of bioinformatics, genomics, software engineering and data engineering practices.
• Lead and manage recruitment across the chapter.
• Manage and lead an inclusive, high performing team, ensuring that we have the right skills in place to deliver our mission.
  
  We anticipate the ideal candidate will have:
• Experience of leading, motivating and engaging team members in an inclusive manner.
• Experience in variant annotation tooling, particularly development of annotation tools.
• Highly proficient in at least one programming language (e.g. Python), with a willingness to adapt and learn new languages as needed. Experience with Java would be beneficial.
• Experience in creating and productionising data/bioinformatics pipelines using workflow orchestrators (Nextflow preferred) and container technologies.
• Experience in developing CI/CD pipelines in a git repository/version control system.
• Experience in developing cloud infrastructure and have a good understanding of cloud services (AWS preferred).
• Track record of cross-functional or cross-disciplinary collaboration.
• Ability to break down complex genomic problems to multiple stakeholders so decisions can be made together.
• An open and collaborative mindset for cross disciplinary problems solving - be that bug triage across multiple squads or a large-scale technology evaluation of multiple solutions for a national roll out.
• Familiarity with best practices in relevant areas, willingness to champion best practices in the squad e.g., software engineering, organization, and adherence to these best practices.
• Ability to make reasoned assessments, supported by evidence, experience, or knowledge, in order to propose/challenge proposals and make decisions.