Universal Biosensors – Algorithm Specialist 

Posted: 21 October 2021

Universal Biosensors (UBI) is an ASX listed global biosensor company based in Melbourne which designs and develops handheld diagnostic “Point of Use” devices and test strips, most notably the world leading blood glucose monitor (One Touch Verio, partnered with Johnson & Johnson), with over 10 billion tests being sold on the platform to date. 

As part of UBI’s new technology drive, we are looking to augment the throughput of new assays for different industries. We are seeking an expert who can help us with the task of algorithm optimisation for our electrochemical detection platform. 

As UBI has a focus on detecting analytes in complex media (wine, blood, urine, beer, juice etc) the datasets collected are multivariant with parameters including viscosity, pH, chemical composition, sugar content, analyte concentration, sample origin and sample type all contributing to the observed electrochemical signals. 

UBI seeks to expand our capability through the incorporation of machine learning, neural networks and principal component analysis to understand and interpret the rich datasets we collect. 

The ideal candidate would be skilled in all areas of Computer Science, including being familiar with coding in several languages and forms of data structures. Furthermore, he/she would need to have a sound understanding of enzyme kinetics and a basic understanding of electrochemistry principles. 

We would ideally like to bring this person on board, on a consulting basis, to setup an algorithm optimisation pipeline where we can have a server or cluster that is dedicated to performing complex computations in trying to find the most suitable algorithm based on given sample datasets (similar to machine learning or AI). 

This person may come from a background of a Data Scientist, Bioinformatician or Actuary. 

Key Skills/Responsibilities: 

  • Analysis of potentiostat outputs and associated software analysis packages / algorithm optimisation strategies 
  • Machine learning (AI), neural networks and principal component analysis 
  • Coding in several languages E.g. Python, C#, Java, Matlab etc 
  • Database management E.g. SQL, XML, JSON 
  • Servers and Clusters of networked computers and software 
  • Data visualisation and interactive data analysis E.g. Power BI, Tableau 
  • Chemical reaction theory and tools to analyse this using software 
  • Enzyme kinetics and electrochemistry principles using software analysis tools 

For more information please contact Alex Certoma on acertoma@universalbiosensors.com


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