Plant & Food Research is a New Zealand-based science company providing research and development that adds value to the fruit, vegetable, crop and food sectors. We are an organisation that recognises the growing need for statistical skills in areas such as breeding and genomics, metabolomics, post-harvest technologies, ecology, sensors and sensing systems, clinical trials and sensory and consumer science.
About the Role
We have an exciting opportunity for a Statistical Scientist to provide statistical leadership and expertise in collaboration with our research staff working in a wide range of fields across the organisation. This will see you undertake high impact analyses, ensure research is statistically sound and conducted at a high level, communicate results to colleagues and industry partners and lead research projects in statistical science. You will grow and support data science and domain-specific science working within an experienced Statistical Science team.
You’ll have a postgraduate degree or advanced diploma in statistics or a related field, preferably with several years of experience in analysing biological data. You’ll combine a broad knowledge of statistics and well-developed skills in statistical programming (R and/or Python), data management and coding with the ability to investigate datasets of varying sizes and practical knowledge of the principles of reproducible research. Well-developed communication and relationship skills and the ability to work both independently and collaboratively with a wide range of diverse staff will be essential. Experience working with genomic, or time-series data and familiarity with Bayesian methods would be advantageous.
What we offer
There is flexibility on the location for this full-time position, including; Auckland, Christchurch (Lincoln), Nelson, Motueka, Palmerston North or Hamilton.