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Position: Biostatistician
Institution: University of Tasmania
Location: Tasmania, Australia
Duties: Provide expert advice to staff and postgraduate students in the scientific planning, design, data analysis, and reporting of TIA Research and Development and Industry Engagement; Mentor staff and postgraduate students to independently carry out the scientific planning, design, data analysis associated with TIA activities; Lead the training of staff and HDR students using appropriate statistical programming applications
Requirements: A PhD or equivalent in a relevant field; Refereed publications and a track record of research funding success in a field of study cognate to the Agricultural Sciences; Experience in the delivery of teaching to undergraduate and postgraduate students; A demonstrated knowledge of the statistical methodology essential for likely applications of data science in agriculture research; Experience in the use of R
   
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Home About us Working at the University Current job opportunities Applicant login Subscribe Search e.g. “Marketing”, “IMAS”, “Research” Filter results Work type Full time 1 Locations Launceston 1 Categories Academic Research Focused 1 Biostatistician Apply now Job no: 499397 Work type: Full time Location: Launceston Categories: Research Focused Biostatistician Provide training to staff and higher degree research (HDR) students using relevant statistical programming tools Conduct independent research on data science challenges Ongoing, full-time position located in Launceston, Tasmania About the opportunity Agriculture is undergoing a revolution triggered by the exponentially increasing use of digital technologies and data-driven innovations. We are seeking to appoint a Biostatistician in the Tasmanian Institute of Agriculture which is part of The College of Sciences and Engineering . What you’ll do: Provide expert advice to staff and postgraduate students in the scientific planning, design, data analysis, and reporting of TIA Research and Development and Industry Engagement. Mentor staff and postgraduate students to independently carry out the scientific planning, design, data analysis associated with TIA activities. Lead the training of staff and HDR students using appropriate statistical programming applications. Lead or participate in research activities that enable the agricultural and food sectors in Tasmania to use data to assist in making complex decisions actionable. Participate in the learning and teaching of scientific planning, statistical design, data analysis, and interpretation, to the Institute’s undergraduate and postgraduate teaching programs including the Bachelor of Agricultural Science and Master of Agriculture and Food Sciences. Make a strong and sustained contribution to the University in achieving its strategic objectives and fulfilling its operational responsibilities. What we’re looking for: A PhD or equivalent in a relevant field. Refereed publications and a track record of research funding success in a field of study cognate to the Agricultural Sciences. Experience in the delivery of teaching to undergraduate and postgraduate students. A demonstrated knowledge of the statistical methodology essential for likely applications of data science in agriculture research. Experience in the use of R Excellent communication and interpersonal skills. Salary details Appointment to this role will be at Academic Level B or C, depending on experience, and will have a total remuneration package of up to $178, 024 comprising base salary within the range of $110,992 to $152,157 plus 17% superannuation. Considering a move to Tasmania to take up this opportunity? Offering a breath of fresh air, our island State’s wild landscapes, rugged coastlines, distinctive towns, and fascinating history have something for everyone. Tasmania has crafted a unique brand of creativity and adventure such as the world-famous MONA and the exceptional mountain bike tracks of Derby. Our acclaimed fresh food and beverage scene, family-run businesses, and diverse culinary experiences celebrate farm-fresh produce. From our island shores, our research extends to the great Southern Ocean and Antarctic and across the Asia-Pacific. How to Apply To apply online, please provide the following supporting documentation: Resume Cover letter outlining your suitability and motivation for the role Your responses to the success criteria from the Position Description below For further information about this position, please contact Caroline Mohammed, Centre Lead Agriculture Systems, caroline.mohammed@utas.edu.au phone: 61 03 6226 2921. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. Please refer to the attached Position Description Below for full details. Position Description (B) Biostatistician - 499397.pdf Position Description (C) Biostatistician - 499397.pdf Applications close Tuesday 9 th July 11.55pm Advertised: 07 Jun 2024 Tasmania Standard Time Applications close: 09 Jul 2024 Tasmania Standard Time Back to search results Apply now Refer a friend Send me jobs like these We will email you new jobs that match this search. Great, we can send you jobs like this, if this is your first time signing up, please check your inbox to confirm your subscription. The email address was invalid, please check for errors. You must agree to the privacy statement Subscribe Recaptcha Privacy agreement Search results Position Location Closes Biostatistician Launceston 9 Jul 2024 Undertake research into real-world, industry-aligned data science problems in the agricultural and food sector Expression of interest Loading... Current Opportunities Position Location Closes Biostatistician Launceston 9 Jul 2024 Undertake research into real-world, industry-aligned data science problems in the agricultural and food sector Powered by PageUp Authorised by the Executive Director of Marketing. © 16 May, 2022 University of Tasmania, Australia. ABN 30 764 374 782. CRICOS Provider Code 00586B Copyright statement Disclaimer Privacy Web accessibility
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