BACKGROUND

RESPONSIBILITIES

• Understanding Genomics England datasets and the research environment, and being both a super user and advocate internally and externally
• Understanding the needs of customers (academic, NHS and industry); working with customers to ensure that their scientific projects are successful
• Carrying out custom analyses on demand
• Managing data; supporting data generation, intake, and extraction through airlocks
• Supporting users with how to use our software and data
• Keeping track of customer relationships and being the internal authority on specific customer issues, needs, and future plans
• Providing high calibre troubleshooting of problems for customers, appraise customers and Genomics England options and execute solutions, co-ordinating with internal teams when necessary
• Contributing to the development of the Research Environment through identifying unmet customer needs, suggesting solutions, and improving supporting material
• Collaborating internally, particularly with others in the Chief Scientist's team, our Commercial team, Bioinformatics team and platform engineers, to develop and deploy suitable solutions for customers
• Working from time to time on the NHS Clinical Interpretation pipeline

REQUIREMENTS

• Extensive experience in analysis of large-scale genomic data using bioinformatics tools and pipelines
• Demonstrable experience in using next generation sequencing data
• Competence in R, Python or similar language appropriate for large-scale genomics analysis
• Strong communication skills, both written and verbal and excellent facilitation, influencing and presentation skills
• Good customer-service orientation, disposition to help, and experience in working with customers, preferably in the scientific/pharma industry
• Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery
• Experience with high-performance computing or cloud-scale data processing
• Adaptable to an ever-evolving working environment
• Background in human disease genetics, preferably in cancer or rare disease, demonstrated by publication record or industry track record
• Educated to MSc level (or higher), in Bioinformatics, Biostatistics, Statistical Genetics, or a related scientific discipline
• Proven ability to communicate with stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
• Willingness to travel occasionally (<15%) to meet customers or to attend events to gain market insight
• Experience of working in a knowledge sharing environment
• Proven understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data

COMPENSATION

HOW TO APPLY