Consultancy

Our experts collaborate with you to identify practical improvements and build capability within your research team.

Today’s research environments are increasingly dynamic, shaped by expanding data, evolving software ecosystems, and disruption from artificial intelligence and machine learning applications.

To stay ahead of the curve, research teams are expected to explore computational approaches, maintain reproducible practices, and keep complex workflows running smoothly.

This is where our Consultancy service can help.

Whether you’re looking to streamline workflows, shorten runtimes, scale analyses, or adapt code for new environments, our experts collaborate with you to identify practical improvements and build capability within your research team.

Request a Consultancy

 

“When embarking on this journey to process large amounts of sequence data I had generated, I quickly realised that this was a mammoth task that would require large computer resources and insight into how to create a suitable pipeline for analysis....The knowledge and skills I have learnt will help me efficiently process large datasets and troubleshoot issues that may arise to complete the data processing required for my PhD project. Without the help received from Dini and Chris, processing this large dataset would have been infinitely more challenging.”

Zoe King, School of Science, Auckland University of Technology

 

Building a solution together

Each Consultancy project is approached as a collaboration, tailored to your needs. You are paired with specialists from our team to explore and build a solution together. You will get full ownership of the delivered work so that you can continue to maintain and build on the project’s outcomes beyond the Consultancy.

Our team has experience across a range of programming languages and software, as well as expertise in science domains including Physics, Engineering, Biology, Chemistry and Bioinformatics.

Our Research Software Engineers are familiar with FAIR (Fair, Accessible, Interoperable and Reproducible) software development principles, and we approach designed solutions with software sustainability front of mind.

 

“We greatly valued the support of the REANNZ Research Software Engineers, whose expertise and collaborative approach made working with them a smooth and rewarding experience. Their contributions were instrumental in helping us clarify our research objectives and improve the efficiency of our overall research process.”

Marcus Jude San Pedro, Faculty of Business and Economics, University of Auckland

 

More Information

If you would like to learn more about our Consultancy service, let's chat. We'll discuss your research project’s challenges and how we can help.

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