Developers

• Large scale data processing: Requires proficiency in parallel programming, distributed and cloud computing. A desire to identify and fix performance issues at all levels of the stack - from CPU cache misses and thread contention to badly designed algorithms/data structures.
• Data analytics: Statistical analysis over hundreds of millions of data items. Interest in graph databases and semantic technologies.
• Web application development: A high-performance, cutting edge Ajax app. Requires knowledge of the latest HTML5 advances.
• Web application scaling: Coping with highly CPU and memory intensive user queries in an effective way.

Our technology stack (prior experience not mandatory): We are a JVM, Linux shop. We use Java, Scala, Groovy and Javascript (with a touch of PHP and Python). We use one of the leading graph databases and a variety of SQL/NoSQL technologies like MySQL, Solr, Redis.

Big Data, Scala, Akka, Play!, Redis, Solr

Bioinformaticians, In silico biologist

We are looking for:

• biologists with a sound grasp of molecular biology, genetics and biochemistry
• bioinformaticians with a aound grasp of bioinformatics tools, statistical analysis and data mining

who would like to apply this knowledge to develop sophisticated tools that aid novel research in biotechnology and drug discovery

• Modeling complex data: Building intelligent data models for applications in systems biology, translational medicine etc. and keen interest in making data interoperable and accessible.
• Utilising ontologies: Connect data in meaningful ways and leverage standard vocabularies to interconnect and normalise data.
• Analysing omics data: Using statistical and network analysis tools to make sense of high throughput datasets.
• Building workflows: Utilise bioinformatics tools and DistilBio to create analysis pipelines.

Omics data, Large scale integration and Analysis