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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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continuum, from postgraduate research students through to senior researchers. The Pro Vice-Chancellor (Researcher Development) (PVC) is the academic leader for Research Masters and PhD programs, providing
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activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development