(C) The Conversation This story was originally published by The Conversation and is unaltered. . . . . . . . . . . Data Scientist Job at Children’s Medical Research Institute in Sydney, Australia [1] [] Date: 2022-08 Posted 24 August, 2022 Make an important contribution to the health of future generations through medical research Work with a world-leading, independent medical research institute Located in Westmead—Sydney’s and Australia’s foremost biomedical research precinct Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric research facility and is now one of the world’s most highly regarded independent medical research organisations. Our research focuses on the four key areas impacting children’s health: cancer, genomics and genetic diseases, neurobiology, and embryology. Our strong international reputation is based on decades of significant research outcomes in these areas of specialty. CMRI is also home to the world-first proteomics project, ProCan, which is changing the way cancer is diagnosed and treated. CMRI’s research programs are supported by state of the art facilities and committed research and support staff. Our achievements are made possible by a loyal network of community supporters, highly engaged donors, and the very successful Jeans for Genes® and Great Cycle Challenge fundraising campaigns. A data scientist position is available in the ProCan Cancer Data Science (CDS) Group, led by Dr. Qing Zhong. ProCan (the ACRF International Centre for the Proteome of Human Cancer) is a world-first initiative developed and launched in September 2016 by Professors Phil Robinson and Roger Reddel, and established with a $10 million grant from the Australian Cancer Research Foundation (ACRF). Equipped with six SCIEX mass spectrometers and a supercomputer (800TB / 480 cores), ProCan processes tumour samples through a proteomic method, DIA-MS, which allows fast mass spectrometric conversion of small amounts of tissue (biopsy level) into a single, permanent digital file representing the quantitative proteome of the sample. One of the goals of ProCan is to measure proteins in tens of thousands of cancers of all types with known treatment outcome and correlate tumour proteotypes with clinical phenotypes. The Cancer Data Science Group aims to develop novel computational tools and sophisticated machine learning algorithms to achieve this goal. Other major focuses of the group are 1) big proteogenomic data mining and management, 2) the genome-proteome association analysis and multi-omic data integration for studying cancer, 3) development of advanced statistical tools to account for batch effects caused by large-scale, high throughput proteomics, and 4) implementation of big data-driven, evidence-based computational tools to achieve predictive, preventive, personalized medicine. We invite applications from PhD scientists to join our group. Applicants should be experienced data scientists with a high degree of motivation in academic research, an excellent record of scientific accomplishments with publications in peer-reviewed journals, and the ability to work independently with outstanding communication and writing skills. Candidates should have a strong clinical/biological understanding and a background in bioinformatics, biostatistics, or machine learning. Strong programming skills in R and Python are required. Previous experience in proteomics is essential. You will be responsible for conducting biostatistical analysis, performing scientific data visualization, developing solutions to proteomics research and cancer biomarker discovery. You will be provided with a competitive remuneration package in accordance with qualifications and experience. Additional benefits include the provision of a Public Benevolent Institution salary packaging scheme and participation in an employer-contributed superannuation fund. Publications in high impact journals can be expected. This is a full-time position for two years with the possibility of extension. Applications should include: A cover letter (citing PV2235) with statement of motivation and a detailed description of the qualifications described above, A curriculum vitae including a chronological list of publications Contact details (phone/email) of three professional referees and be forwarded to [email protected] Please submit your application by Friday 9th September, 2022. Please direct enquiries regarding the position to Qing Zhong, Group Leader, [email protected]. [END] --- [1] Url: https://jobs.theconversation.com/jobs/146010459-data-scientist-at-children-s-medical-research-institute?utm_source=theconversation.com&utm_medium=website&utm_campaign=sidebar_job Published and (C) by The Conversation Content appears here under this condition or license: Creative Commons CC BY-ND 4.0. via Magical.Fish Gopher News Feeds: gopher://magical.fish/1/feeds/news/theconversation/