Editorial summary

The company is seeking a Lecturer or Senior Lecturer in Biomedical Science with Analytics to contribute to the development and delivery of Pre-Employment Training (PET) and Continuing Education & Training (CET) curricula. The role involves designing teaching materials, assessments, and industry-relevant projects, with a focus on integrating science and analytics through various delivery modes, including face-to-face, online, and blended learning. Candidates should have expertise in biomedical science and analytics, with a commitment to fostering learners' professional and personal growth. Compensation details are not specified.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 26425 first appeared in Job-Q.com on 21 Aug 2026]

[What the role is]

You will play an active role in the academic, professional, and personal development of the learners to prepare them for work and life. This includes development of Pre-Employment Training (PET) and Continuing Education & Training (CET) curriculum, programme delivery and working on industry projects.

[What you will be working on]

• Develop, deliver and review PET and CET curriculum, including face-to-face, online and blended learning.
• Design and develop teaching materials, assessments, applied projects and authentic learning activities that include integrating science with AI and data analytics.
• Prepare and grade assessments and supervise learners in their daily course work.
• Use the Learning Management System and interactive digital tools effectively, and harness technology to enhance learner engagement and outcomes.
• Serve as a Personal Mentor to learners, providing pastoral support and assisting with day-to-day academic and administrative matters.
• Contribute to school and diploma-level initiatives, committee work, outreach activities, curriculum reviews and quality assurance processes.
• Build and maintain strong partnerships with industry to lead and develop industry projects, internships and collaborative initiatives.

#LI-Hybrid

[What we are looking for]

Highly motivated, resourceful and learner-centric candidates who are nurturing and enjoy interacting with learners with the following:

• Relevant qualifications in Biomedical Science/Life Sciences, with expertise in Clinical Laboratory Sciences and qualifications or experience in Bioinformatics, Data Analytics, Data Science or related disciplines.
• Minimum 3 years of relevant work experience in a science related field.
• Demonstrated experience applying AI, machine learning, predictive analytics or modelling to solve real-world biomedical, healthcare or life sciences problems.
• Proficient in analytics tools or programming languages such as SAS Viya, Python, SQL, Power BI or equivalent.
• Strong communication, interpersonal and mentoring skills, with the ability to collaborate effectively, adapt to changing needs and manage multiple priorities.

Candidates are also expected to contribute to teaching and curriculum development in one or more of the following areas: Predictive Analytics & Forecasting, Predictive Modelling, Database Design & Administration, Data & Statistical methods and Applied Calculus.

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