Lecturer/Snr Lecturer (Biomedical Science with Analytics) - Sch of Applied Sc

NYP International; Singapore; Presencial; SGD 60.000 - 100.000; Jornada completa

Descripción de la vacante

NYP International in Singapore seeks an educator to shape PET and CET programs, deliver curriculum, and mentor learners across diploma and industry projects. The role emphasizes integrating AI and data analytics with biomedical science, designing assessments, and building partnerships with industry to enrich internships and applied projects.

Strong mentoring, collaboration, and adaptability are essential to support learners' academic and career growth.

Formación

• Relevant qualifications in Biomedical Science/Life Sciences with Bioinformatics or data analytics experience.
• Minimum 3 years of relevant science-related work experience.
• Experience applying AI or ML to biomedical or life sciences problems.
• Proficiency in analytics tools such as SAS Viya, Python, SQL, and Power BI.

Responsabilidades

• Develop, deliver and review PET and CET curriculum for face-to-face, online and blended learning.
• Design teaching materials, assessments, and authentic projects integrating science with AI and data analytics.
• Prepare and grade assessments and supervise learners in daily coursework.
• Utilize LMS and digital tools to enhance learner engagement and outcomes.
• Serve as a Personal Mentor and provide pastoral support and admin assistance.
• Contribute to curriculum reviews, quality assurance, and industry partnerships for internships.
• Lead industry projects and collaborative initiatives with external partners.

Conocimientos

Mentoring

Curriculum development

Communication

Project management

Educación

Bachelor's in Biomedical Science/Life Sciences

Herramientas

SAS Viya

Python

SQL

Power BI

Descripción del empleo

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.

What we are looking for

• 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.