6 Clinical Analysis jobs in Singapore

We are seeking a highly skilled Laboratory Analysis Expert to join our team. As a key member, you will be responsible for managing and performing laboratory analysis of fuels, deposit and chemical samples to support business growth and product performance evaluation.

Responsibilities include:

• Managing laboratory analysis to support business expansion
• Assisting in the development of suitable formulations using existing components
• Maintaining equipment in good working condition to ensure quality data generation
• Providing technical support in analytical methods and techniques
• Overseeing the quality function of our facilities
• Preparing technical reports and bulletins on projects undertaken
• Data management: maintaining test data and technical reports for reference purposes
• Sample management: maintaining sample inventory to ensure efficient sending and receiving
• Training new colleagues in laboratory analysis and techniques
• Coordinating product performance field testing and evaluations

Requirements:

1. Degree in Chemistry, Chemical Process Technology or equivalent qualification
2. Minimum 3 years experience in analytical testing in an industrial laboratory environment
3. Proficiency in Microsoft Office applications
4. IQ components: analytical thinking, problem solving and critical thinking
5. EQ components: culturally aware, effective communication and teamwork skills
6. Fluency in English language

Laboratory Tehnician (water analysis)

12m Contract / with 1m completion bonus

Salary: Up to 3000

No transport allowance but there is company bus from Boon Lay, jurong east, CCK, Outram, Bedok MRT

Mon, wed and Friday 11.00am-7.00pm / Tues and Thurs 8.15-5.00pm

JOB SCOPE:

• Sample preparation for analysis of water and solid samples

• nalysis of water samples using manual titration and colorimetric methods.

• M intaining 5S of the lab

• P ocess improvement initiative

• P oduce sample result within the timeline and send to respective associate

Interested candidates, do submit your resume to: OR telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R1331820

Job Title:

The Lee Kong Chian School of Medicine at Nanyang Technological University is a premier medical school in the region, offering undergraduate and graduate programmes in medical education and research. Our mission is to advance research on AI in medicine and improve patient outcomes through cutting-edge technologies.

We are a model for innovative medical education and a centre for transformative research. We work closely with our primary clinical partner, a leader in public healthcare recognised for its medical expertise, facilities and teaching.

We aim to develop innovative solutions that combine the power of AI with the expertise of clinicians to drive innovation and excellence in medical education and research. Our team of experts collaborates across disciplines to ensure developed AI models are accurate, safe, interpretable, clinically applicable, and ethically deployed.

• Conduct research on foundation models for medical image analysis, including MRI, CT, X-ray, and endoscopy, ensuring all research activities comply with ethical standards and patient data privacy regulations.
• Support research grant preparation, including literature reviews and preliminary data collection.
• Contribute to research outputs, such as manuscript writing and participation in local and international conferences.
• Supervise and mentor undergraduate and PhD students, as well as junior research staff, equipping them with necessary skills and knowledge to contribute effectively.
• Collaborate with interdisciplinary teams comprising clinicians, medical researchers, and AI experts to develop AI solutions that benefit patients and society.

• A PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution.
• Excellent written and oral communication skills.
• Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow.
• Research experience in medical image analysis using deep learning algorithms.
• A strong track record in machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals.
• Familiarity with effective strategies for addressing data scarcity, class imbalance, and domain shift in machine learning.

• Conduct research on foundation models for medical image analysis, including MRI, CT, X-ray, and endoscopy.
• Ensure all research activities comply with ethical standards and patient data privacy regulations.
• Support research grant preparation, including literature reviews and preliminary data collection.
• Contribute to research outputs, such as manuscript writing and participation in local and international conferences.
• Supervise and mentor undergraduate and PhD students, as well as junior research staff, equipping them with the necessary skills and knowledge to contribute effectively.
• Collaborate with interdisciplinary teams-comprising clinicians, medical researchers, and AI experts-to ensure the developed AI models are accurate, safe, interpretable, clinically applicable, and ethically deployed.

• PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution.
• Good written and oral communication skills.
• Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow.
• Research experience in medical image analysis using deep learning algorithms.
• Strong track record in machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP, IJCV, TMI, and MIA.
• Familiar with effective strategies for addressing data scarcity, class imbalance, and domain shift in machine learning.
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Entry level candidates are welcome to apply.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable representations from large datasets, enabling effective application across different imaging modalities and tasks. Their ability to perform well with limited labeled data and adapt quickly to new clinical scenarios makes them a powerful tool for advancing AI-driven diagnostics and improving patient care. The position aligns with the School's mission to advance research on AI in medicine and improve patient outcomes through cutting-edge AI technologies.

Key Responsibilities:

• Conduct research on foundation models for medical image analysis, including MRI, CT, X-ray, and endoscopy.
• Ensure all research activities comply with ethical standards and patient data privacy regulations.
• Support research grant preparation, including literature reviews and preliminary data collection.
• Contribute to research outputs, such as manuscript writing and participation in local and international conferences.
• Supervise and mentor undergraduate and PhD students, as well as junior research staff, equipping them with the necessary skills and knowledge to contribute effectively.
• Collaborate with interdisciplinary teams—comprising clinicians, medical researchers, and AI experts—to ensure the developed AI models are accurate, safe, interpretable, clinically applicable, and ethically deployed.

Key Competencies and Qualification Requirements:

• PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution.
• Good written and oral communication skills.
• Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow.
• Research experience in medical image analysis using deep learning algorithms.
• Strong track record in machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP, IJCV, TMI, and MIA.
• Familiar with effective strategies for addressing data scarcity, class imbalance, and domain shift in machine learning.
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)
• Entry level candidates are welcome to apply.