Data Analyst/ Epidemiologist

Location: Sydney NSW

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The Garvan Institute of Medical Research brings together world-leading clinicians and basic and translational researchers to break down barriers between traditional scientific disciplines and find solutions to disease. Founded in 1963, Garvan’s mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease.

Our scientists work across four intersecting research themes: medical genomics, epigenetics, and cellular genomics; diseases of immunity and inflammation; cancer; and diseases of ageing affecting bone, brain and metabolism. In addition, three major Centres: The Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.

The Human Comparative & Prostate Cancer Genomics Laboratory is focused on understanding the complexities of the human and cancer genome and how genomic variation has shaped human evolution and health, cancer evolution, risk and outcomes. The laboratory is using genomic tools from whole genome sequencing to whole genome optical mapping to capture genomic complexity through both human and tumour evolution, while computational, analytical and molecular-based methods are used to link and predict biological impact.

The team is not only diverse and global in its approach to research, but is also proud of its diverse and global footprint. The laboratory has been strategically located across the Garvan Institute and the University of Sydney, with a broad network of colleagues and expertise in areas such as genomics, bioinformatics, population genetics, prostate cancer clinicians, public health and patients, as well as access to the high performance compute infrastructure and expertise within the University of Sydney’s informatics hub (SIH) and the National Compute Infrastructure (NCI) in Canberra.

The team also has an active laboratory at the University of Pretoria in South Africa, has official research agreements with Kenya, Namibia and Botswana and are steering members of the PAN Prostate Cancer Group of the International Cancer Genome Consortium, with collaborators across the globe.

The Opportunity

The Data Analyst will join the Laboratory for Human Comparative and Prostate Cancer Genomics and be located within The Kinghorn Cancer Centre at the Garvan Institute of Medical Research. This newly funded position is part of a larger study, called TARGET Africa, which includes a global network of researchers, led out of the Lab and aimed at distilling the geographic and ethnic disparity in prostate cancer outcomes.

The project is prefaced on the hypothesis that significant high-risk prostate cancer observed for men living either within Africa or of African ancestry, is a combination of environmental, behavioral (including cultural and socioeconomic) and biological (including inherited and somatic) factors. To achieve the study goal, the study leads initiated in 2008 the Southern African Prostate Cancer Study (SAPCS), with well over 2,500 men recruited to date, the SAPCS is the largest study of its kind for the African continent. The aim, to uncover the genetic and non-genetic contributors to the 2.6-fold increased risk for prostate cancer associated mortality in men from Africa versus men from Australia, while comparing our data to global populations.

As a Data Analyst / Epidemiologist, you will be responsible for the analyses of extensive epidemiological (demographic, lifestyle and behavioural) data collected over a decade using case-control and case only analytics and biostatistics. Additionally, the successful candidate will work closely with our epidemiological colleagues in the United States to provide comparative analyses with a large African American prostate cancer cohort from North Carolina-Louisiana.

The role will also include contribution to a new and exciting integrative data capture and management system, which crosses the spectrum of data types and allows for data to be fed from the field (with a focus on rural communities) to the lab and back to the patient.

The candidate will need to implement and design novel methods or software for data analysis and statistics, provide high-level statistical support throughout the project, take leadership in data auditing, work collaboratively with the TARGET Africa team, and contribute to written reports and publications.

The successful candidate will report directly to the Laboratory Head. This is a two-year full-time, fixed term position with a base salary of $88,379AUD + 14% superannuation and salary packaging benefits, and the possibility to extend.

Key Responsibilities

  • Conduct cutting-edge analytical research through the evaluation, implementation and where necessary development of statistical methods required for application to epidemiological data

  • Demonstrating leadership capabilities in providing statistical support and developing and addressing methodological research questions

  • Day-to-day support and occasional training of students and junior staff as required.

  • Contributing to the growth and productivity in the biostatistic areas of the lab by proposing, participating and overseeing the design, development and validation of new assays, and fostering collaborative efforts.

  • Staying abreast of advances in epidemiological analytics.

  • Interpret and present the results of the statistical analyses to collaborators and co-workers.

  • Publish results in scientific journals and give presentations at conferences.

  • Assist with grant writing.

About You

The key skills and experience include:

  • A PhD in biostatistics, epidemiology, health sciences, mathematics or closely related discipline, ideally with minimally two year postdoc experience (recently awarded PhD’s will be considered in exceptional cases)

  • Strong understanding and technical knowledge of complex statistical models and methods

  • Experience in performing complex data manipulation and analysis in a statistical package with a flexible programming language such as Stata or R

  • Experience in epidemiological methods

  • Experience in data management and database implementation

  • Experience in modern methods for handling missing data

  • Excellent communication skills both written and verbal

  • Record of publication of peer-reviewed scientific articles

  • Demonstrated ability to work independently and collaboratively to achieve project goals and meet agreed deadlines

How to Apply

To apply for this position, please submit your application with a CV and cover letter attached as one document, stating why you are interested in this role. We are reviewing applications as they are received and encourage you to submit yours as soon as possible. If you think you’re the right person for this role, we’d love to hear how your capabilities, achievements and experience set you apart. Only applicants with full working rights in Australia are eligible to apply for this role.

*** Mention DataYoshi when applying ***

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