Ningxia University

Full time, fixed term until 30th June 2027. Located at the Moore Theological College. Opportunity to drive nationally significant impact by leading cutting-edge AI training that transforms life science research across Australia Base Salary $131,108 - $147,858 (HEO8) + 17% superannuation About the opportunity The Australian BioCommons and Sydney Informatics Hub (SIH), University of Sydney are seeking an AI in Research Training Lead to design, deliver, and scale a national training program on the effective and responsible use of artificial intelligence tools in life science research. This nationally significant role will empower researchers to apply AI methods to tasks such as text and code generation, data analysis, and literature synthesis, while building critical awareness of their limitations and ethical implications. Based at the University of Sydney, you will join a collaborative and diverse team committed to inclusive and open training and digital research capacity building across the life sciences and beyond. Your key responsibilities will be to: work closely with trainers, bioinformaticians, and data scientists at Australian BioCommons and Sydney Informatics Hub to identify training needs and create training opportunities deliver national, high-quality, hands-on training in AI methods tailored to life science research design, produce and present new training materials aligned with international best practice and evidence based pedagogy contribute to the delivery of the Australian BioCommons national training program through workshops, webinars, and reusable digital resources represent Australian BioCommons and Sydney Informatics Hub in national collaborations with universities, institutes, and research facilities. About you postgraduate qualifications in a relevant field, or an equivalent combination of training and experience demonstrated experience developing and delivering training in AI, bioinformatics, or digital life sciences strong working knowledge of AI, data science, and computational approaches used in the molecular life sciences practical experience with research computing tools and languages (e.g. Python, R, shell scripting) proven ability to develop reusable training resources experience collaborating with diverse stakeholders. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Nicole Turle, Recruitment Operations by email to nicole.turle@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Thursday 16 July 2026 11:59 PM

Ref.: 536671 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Assistant Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Data Scientist) (Ref.: 536671) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Chief Data Scientist. Duties and Responsibilities Manage, process, and analyse complex real-world healthcare datasets to generate insights and evidence. Develop and implement data pipelines for the ingestion, curation, and transformation of RWD into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality for specific projects. Prepare analysis datasets, reports, and visualisations for both internal stakeholders and external clients/sponsors. Requirements Ph.D. degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. A minimum of 3 years’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as Python, SQL, and R Strong analytical and problem-solving skills. Good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 10% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from July 9, 2026 and continue until July 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Applications close: Jul 31, 2026 (HK Time)

Ref.: 536669 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Chief Data Scientist) (Ref.: 536669) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Chief Data Scientist. Duties and Responsibilities Report to Director (RWSAC) and lead the scientific and methodological core of the RWSAC. Provide scientific leadership in the design, execution, and analysis of real-world evidence (RWE) studies. Oversee the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant regulatory guidelines. Lead the exploration and application of innovative analytical approaches. Manage a team of data scientists and business intelligence (BI) professionals, fostering a culture of scientific excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline.  Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably a minimum of 5 years’ experience in epidemiology, data management, programming and statistics at supervisory level. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms, machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent leadership, organizational, project management and problem-solving skills. Strong interpersonal, communication and stakeholders’ management skills. Detail-oriented, able to handle multiple concurrent tasks and self-motivated. A good command of spoken and written English and Chinese (including both Cantonese and Putonghua). Shortlisted candidates will be invited to attend a written test and/or an interview. What We Offer The appointment will commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from July 9, 2026 and continue until July 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Applications close: Jul 31, 2026 (HK Time)