Key Responsibilities - Process and analyse metabolomic, transcriptional, genomics, proteomics and any other kind of biological data. - Interpret the data in the context of relevant biological literature to generate actionable insights. - Communicate the findings from data and literature to biologists and use the biological insights to derive next steps/analyses. - Communicate work through blogs, meet-ups, research papers, posters, etc. - Identify, troubleshoot, and implement improvements to existing pipelines and algorithms. - Identify and implement new tools and pipelines to use for different types of biological data. - Work in a multi-disciplinary team with biologists, data scientists and data analysts. - Help with any other requirements (from database design to generating prototypes for the product team).
Requirements - 3-5 years of relevant bioinformatics experience such as public data mining, processing, analysing and visualising omics data, etc. - Ph.D., Masters or Bachelors in Bioinformatics, Biotechnology, Computational Biology, or related field. - Understanding of molecular biology and biochemistry. - Comfort and experience with biological research and data. - Proficient in a programming language used for bioinformatics such as R or python. - Excellent communication skills. - Ability to summarise and simplify complex analyses for a non-technical audience. - Strong analytical skills, curiosity and a knack to solve difficult problems. - Work well in multi-disciplinary teams with people of vastly different backgrounds. - Demonstrated success in collaboration and independent work.
