Research Assistant

vor 7 Stunden


Central Coast, Österreich Buscojobs Vollzeit

The Garvan Institute of Medical Research brings together world leading researchers and clinicians, collaborating locally and globally, to improve human health.
Our mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease.
From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we are pioneering discoveries across diseases that have the deepest impact on our community.THE OPPORTUNITYThe Research Assistant is accountable for assisting with bioinformatic analysis of experiments conducted within the Swarbrick Laboratory, with strategic guidance and training from postdoctoral bioinformaticians in the Swarbrick Laboratory.The Swarbrick lab are global leaders in the application of cellular genomics to human cancer, to find new diagnostics and treatments for society's most challenging cancers.
We are a diverse multidisciplinary team of scientists and clinicians with a vision to change cancer medicine.
More information can be found at www.swarbricklab.comMajor projects include generation of an international, large-scale, multi-omic breast cancer atlas and understanding the cellular mediators of response to cancer immunotherapy in breast cancer, prostate cancer and melanoma.
The Laboratory is generating substantial single-cell sequencing (scRNA-Seq), spatial transcriptomics and other genomic and proteomic datasets from clinical samples and preclinical models.
The RA will be actively working on the integration of these large multi-omic datasets and developing scalable, robust, cloud-based computational frameworks.
The RA will learn and apply advanced methods in AI and Machine learning.This role will suit a computational science / bioinformatics graduate with training and experience in advanced computational techniques and with an interest in cancer biology, spatial molecular biology or cellular genomics.Salary : Up to $99,000 + 14% superannuation + salary packaging (depending on experience)Employment Type : 2 year term contract with possibility to extendSNAPSHOT OF BENEFITSGenerous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max.
$15,900 general expenses + $2,650 meals / accom)Ample opportunities for on-going training and developmentStimulating, diverse and highly international research environmentFlexible work arrangements e.g.
start / finish times18 weeks paid parental leave for both parents including paid superannuationA range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leaveDiscounted Health InsuranceLifestyle discounts with our community partnersWHAT YOU WILL DODeveloping, maintaining and executing bioinformatic pipelines / workflows, particularly in relation to scRNA-seq and spatial transcriptomic dataContribute to the existing codebase in collaboration with other team members, including debugging, refactoring and enhancing legacy codeDocument new code, and make improvements to existing documentationTrack, archive and actively manage raw and processed data in accordance with established procedures and policiesAnalyse clinical and experimental data, with an emphasis on relevance to clinical translationAssist other team members with their analysesAdopt, test and benchmark analytical packages for incorporation into analyses and standardised pipelinesPresent results internally and externallyABOUT YOUEssential Knowledge and Skills :BSc or MSc in computer science or a quantitative discipline (Computational Biology, Bioinformatics, Mathematics and Statistics, Physics, Software Engineering, or a related field)Experience with version control systems, particularly GitExperience using R and / or Python programming languageFamiliarity with the Unix command line and high-performance computing environments and / or cloud computingDesirable Knowledge and Skills :Knowledge of the fundamentals of molecular biology : DNA transcription and translationExperience in the analysis of large molecular datasets, such as whole genome and transcriptomic sequencing dataExperience in handling, processing, and interpreting large-scale biological datasets derived from scRNA-seq and spatial technologies, such as Visium or Xenium, would be particularly beneficialExperience working in a multidisciplinary teamAppreciation of ethical dimensions of clinical researchPersonal Qualities :Excellent communication skills for written reports and oral presentationsExcellent organisational and time management skillsStrong desire to work co-operatively with other team membersCommitment to data organisation and implementation of quality controlsAn interest in understanding how cancers evolve and progressHOW TO APPLYTo apply for this position, please submit your application with a CV and cover letter as one document, stating why you are interested in this role.
We are reviewing applications as they are received.
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.#J-18808-Ljbffr



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