Top Research Jobs in Sydney

Conducts site evaluation, training, on-site and remote monitoring, and site closure for clinical trials. Ensures protocol compliance, patient safety, data quality, regulatory and inspection readiness, and timely safety reporting. Builds investigator and site relationships, supports recruitment and retention, manages risk signals and corrective actions, and contributes therapeutic-area expertise. Also mentors junior CRAs, supports investigator selection, manages payments, and participates in cross-functional initiatives.

Manages financial reporting and compliance for research projects, including preparing financial statements, journals, budgets, project closures, and funding-body requests. Liaises with Chief Investigators and external stakeholders, ensures data accuracy and adherence to reporting standards, prioritizes portfolio activities, and contributes to problem-solving, knowledge sharing, and process improvement.

Coordinates research development initiatives, capacity-building programs, strategic projects, grant activities, partnerships, communications, and research governance. Provides advice to university leaders and researchers, analyzes performance data, prepares reports and briefings, supports funding success, and enhances research visibility and impact across the School of Education and Professional Studies and Griffith Institute for Educational Research.

Research newly launched technology products, create and maintain accurate Magento product listings, update specifications and pricing, audit catalog data, validate information using AI-powered tools, and monitor competitors. The role requires strong attention to detail, product research and analytical skills, familiarity with e-commerce platforms, Microsoft Office proficiency, and the ability to manage multiple deadlines.

Open expression-of-interest opportunity for professionals with demonstrated impact in areas such as engineering, policy, cybersecurity, auditing, standards, or program management. Applicants should describe an achievement that influenced corporate practices, public policy, widely used software, or their broader field, and explain their interest in working with AVERI. Formal credentials are less important than verifiable impact.

Collect and verify commercial real estate market data by building relationships with brokers, owners, and developers. Ensure accuracy and completeness of the database, track new construction and transactions, support clients with verified data, meet KPIs, and work collaboratively in a fast-paced, office-based environment.

Manages end-to-end contracting for commercial research projects, including contract review, negotiation, execution, compliance, and supporting documentation. Advises stakeholders on legal and institutional policy requirements, prepares complex tender and proposal materials, coordinates with academic, legal, insurance, ethics, government, and industry partners, and leads process improvements across research administration.

Support the full trade lifecycle for energy commodities, including trade capture, affirmation, reconciliation, confirmation, and settlement. Investigate operational breaks, resolve queries, and coordinate with traders, risk, finance, treasury, technology, brokers, and clearing parties. The role supports listed and OTC derivatives, improves processes and controls, and drives automation. As the business expands, it will help establish operational processes for physical energy and gas trading, including Japanese markets.

Conduct frontier research on generative models for design creation. Train and evaluate LLMs and multimodal models at scale, develop data pipelines, training objectives, evaluation benchmarks, and quality metrics, investigate model failures, and translate research into production techniques. Own research projects from problem framing through validated or shipped outcomes, collaborate with product teams, communicate findings, and remain current with generative modeling advances.

Conducts on-site and remote monitoring for Phase I-IV clinical trials across Australian sites. Responsibilities include site initiation, training, ongoing compliance monitoring, risk mitigation, site performance management, closeout activities, essential document collection, TMF maintenance, and inspection readiness. Acts as the primary liaison between Novartis and study sites while collaborating with clinical project managers and internal stakeholders.

Conducts onsite and remote monitoring of clinical trial investigator sites from activation through database lock and closeout. Ensures compliance with protocols, ICH-GCP, regulations, SOPs, and client standards; manages site performance, recruitment, safety reporting, investigational product accountability, data queries, documentation, audits, and CAPA remediation. Partners with study teams, investigators, vendors, and safety teams, supports regulatory inspections, and may mentor CRAs. Requires significant regional travel.

Conduct and oversee clinical trial monitoring across investigator sites from activation through database lock and closeout. Ensure compliance with protocols, ICH-GCP, regulations, SOPs, and monitoring plans; manage site relationships, recruitment, safety reporting, investigational product accountability, data queries, documentation, deviations, CAPAs, audits, and inspections. Collaborate with study teams, vendors, investigators, and safety units, support risk mitigation and database release, and mentor junior CRAs as assigned. The role requires 60–80% regional travel and may include international or weekend travel.

Lead Canva-wide evaluation strategy for multimodal generative AI across design, image, video, audio, and agentic workflows. Develop reliable human-preference evaluations, auto-raters, MLLM judges, reward signals, benchmarks, and production monitoring. Connect metrics to user and business outcomes, identify bias and contamination, establish launch gates, diagnose regressions, partner with model teams, mentor researchers and engineers, and represent Canva’s evaluation practice externally.

Conduct research within interdisciplinary programs evaluating innovative care models for low back pain. Responsibilities include clinical trial design and execution, consumer and stakeholder co-design, implementation activities, quantitative data analysis, research dissemination, publications, presentations, grant applications, mentoring, and academic administration. The role requires a relevant PhD, clinical health qualification, and experience in clinical trial research.

Monitor clinical trial sites for protocol, regulatory, and GCP compliance; conduct site visits, resolve issues, support trial execution, and ensure data quality. Collaborate with cross-functional teams, train site staff and CRAs, manage stakeholder relationships, and oversee multiple sites and projects across domestic and international studies.

Provide technical and operational support for a cancer genomics lab: develop and maintain bioinformatic pipelines for scRNA-seq and spatial transcriptomics, integrate multi-omic datasets, manage and archive data, contribute to codebase improvements, communicate results, assist publications and grants, train junior staff, coordinate projects and ensure compliance and data integrity.

Manage site relationships and monitor clinical trials to ensure participant safety and accurate data. Perform site initiation, monitoring, and close-out visits (onsite or remote), support regulatory and ethics submissions, prepare essential documents, drive site recruitment, and ensure compliance with ICH GCP, local regulations, and Sponsor/Novotech SOPs.

Supports research systems, user access, reporting, data quality, testing, validation, releases, documentation, training, and process improvement. Produces operational, financial, and research reports; maintains Power BI dashboards; investigates system issues; and contributes to real-world evidence, data delivery, and clinical AI validation initiatives while following GCP, SOPs, and regulatory requirements.

Build and ship a production project for Agora, a decentralized distributed training system. Develop multiprocessing, asynchronous I/O, and threading components; work with large-scale training infrastructure across AWS and GCP; contribute daily to production code through reviews and mentorship; and present final project results to engineering and research teams.

Conduct novel research in Protocol Learning, focusing on decentralized large-model training and inference across consumer devices. Develop foundational methods addressing communication efficiency, fault tolerance, heterogeneous compute, and malicious participants, with the goal of publishing in tier-1 machine learning venues. Interns own a research problem, leverage significant compute, and receive mentorship from senior scientists during a six-month PhD internship.

Support, administrate, and secure databases while addressing information flow issues and transforming requirements into database solutions.

Build an end-to-end decentralized RL post-training stack for large language models, including rollout ingestion, reward computation, policy updates, weight synchronization, and evaluation. Develop algorithms for asynchronous, high-latency, partially trusted environments and ship post-trained models as public artifacts. The role requires hands-on RLHF, RLVR, or reasoning-focused RL experience, strong Python and PyTorch engineering, and research capability. Experience with slow networks, decentralized systems, model serving, reward modeling, or P2P networking is advantageous.

Conduct foundational research on Protocol Learning, focusing on communication-efficient decentralized training, convergence under churn and staleness, heterogeneous systems, and malicious-participant robustness. Publish findings in top-tier conferences and collaborate with engineering teams to deploy methods in live frontier-model training runs. The role requires machine learning research excellence, distributed training experience, strong PyTorch skills, and alignment with decentralized AI.

Build and own a geo-distributed inference stack for decentralized reinforcement learning and future model serving. Responsibilities include pipeline-parallel execution, node placement and routing, network transport, serving-engine internals, algorithm development, and failure handling across consumer hardware and unreliable public-internet connections. The role requires hands-on experience shipping large-scale inference systems, research capability in distributed inference or related fields, and expertise in low-bandwidth, high-latency networking.

Build and optimize decentralized distributed pretraining systems for frontier-scale models on heterogeneous consumer hardware. Responsibilities include model-parallel training, communication efficiency, elasticity, fault tolerance, checkpointing, state synchronization, recovery, and monitoring across unreliable internet-connected devices. The role requires hands-on PyTorch distributed training experience, strong production Python skills, concurrency and profiling expertise, and evidence of shipping research or engineering systems.