Head of Translational Bioinformatics

Full Job Description

• Lead on bioinformatics, biostatistics and visualisation programmes
  
• Develop innovative strategies for target discovery / biomarker discovery programmes, including assessment, benchmarking and theoretical development of statistical algorithms and methodology, as well as contribute to efficient computational implementations.
  
• Contribute and oversee scientific design both for technology development and biological insight end-points
  
• Produce professional reporting outputs for internal research and external collaborations.
  
• Work across teams and proactively engage in knowledge sharing and peer support, including training 
  
• Line management
  

• Track record of research in bioinformatics, biostatistics, genomics
  
• Experience and strong knowledge of Machine Learning / Deep Learning, SciML (Scientific Machine Learning)
  
• Excellent knowledge of two of Julia, Python and R. Proficient with common data science libraries/toolkits such as Julia data science libraries, Pandas, SciKit-Learn, Numpy, Keras etc.
  
• Experience with Next Generation Sequencing platforms and / or OMICS datasets
  
• Familiarity with common bioinformatic databases and tools
  
• Knowledge of version control and collaborating with developers using GitHub
  
• Excellent oral and written communication skills
  
• Excellent organizational and record keeping skills
  
• Programming and statistical data analysis and visualisation experience in R or Python with one or more common ML frameworks (Tensorflow, PyTorch, etc…)
  
• Experience with variant calling, exome/WGS pipelines or other high-throughput genomics workflows
  
• Good knowledge of biomarker discovery / target discovery
  
• Ability to deliver quick wins alongside implementing more advanced modelling techniques
  
• Line management experience
  

Desired Qualifications and Experience

• Experience with and understanding of Hi-C, capture Hi-C, HiChIP
  
• A social personality that contributes to an open, positive, collaborative working climate, and a strong desire to drive personal development
  
• Proven experience of working in a fast-paced research-driven commercial environment or in collaboration with industry
  
• A strategic, inquisitive and innovative mindset with the ability to sense commercial opportunities in our data and exploit accordingly
  
• Delivery skills with the ability to work well under pressure in an agile environment
  
• Experience with pipeline development and software virtualisation (e.g. docker, singularity)