BACKGROUND

RESPONSIBILITIES

• Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful and that they gain value from their interactions with our Research Environment. This includes face to face engagement to assess needs and execution
• Carrying out complex custom analysis
• Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary
• Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans
• Being the key point of contact with customers collecting and updating requirements, communicating progress and feedback
• Sharing knowledge within Genomics England about customer needs and experiences and contributing to the development of the Research Environment
• Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and software and infrastructure engineers, to develop and deploy suitable solutions for customers
• Working from time to time on the NHS Clinical Interpretation pipeline (creating a seamless bioinformatics team who understand the NHS and research pipelines)

REQUIREMENTS

• A strong background in statistical genetics or genomics and experience in a quantitative discipline such as Mathematics, Physics, or Computer Science
• Strong evidence of experience of bioinformatics research and analytics using large genomic datasets of next generation sequencing data alongside clinical data in a field relevant to Genomics England
• Strong customer-service orientation and proven expertise in partnership working with customers, preferably in the scientific/pharma industry
• Excellent communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
• Proven ability to communicate with key customer and internal stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
• Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery
• Experience of working in a knowledge sharing environment
• Willingness to travel occasionally (<15%) to meet customers or to attend events to gain market insight
• Strong statistical analysis skills
• Experience with cloud-scale data processing and high-performance computing
• Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python) and experience of using a suite of bioinformatics tools to problem solve and answer research questions
• Ability to work independently with a high degree of motivation and focus, and to complete tasks according to company priorities with minimal supervision
• Adaptable to an ever-evolving working environment
• Experience of technical writing
• Knowledge and competence in relevant applications eg LabKey, OpenCGA
• Strong publication record in a relevant field, and a proven ability to stay abreast of developments in that field
• Previous experience of delivering training resources and events
• Proven understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data

COMPENSATION

HOW TO APPLY