Associate Specialist, Imaging and Data Science

Job Description

Our research labs are where we invent solutions to challenging diseases. In Singapore, our Translational Medicine Research Centre is at the heart of the biomedical research community. We focus on identifying new drug targets, exploring innovative therapies, and leveraging clinical studies to understand human biology and address medical needs.

Join our team at our research laboratory in Singapore. We integrate biology, imaging technology, big data and data science to discover novel biomarkers for accelerating drug discovery and development. In this role, you will leverage artificial intelligence/machine learning (AI/ML) and image analysis for the analysis of medical imaging data. This position plays a role in converting vast amounts of preclinical and clinical imaging data, along with biobank data, into valuable insights that steer our drug discovery efforts. You'll work with experienced scientists, learn from industry leaders, and contribute to significant projects that have the potential to shape the future of medicine.

Responsibilities include, but are not limited to: 

• →Conduct, optimize, and troubleshoot imaging and data analytics work to support drug discovery and development, ensuring coordination and execution to meet demanding project timelines.
• →Contribute to the development of novel imaging biomarkers, including the development of AI/ML-enabled software algorithms for image & data analysis.
• →Analyze bigdata from biobanks/cohort studies, to advance our understanding of human biology and disease processes.
• →Investigate scientific literature and conduct database searches to guide the development of imaging biomarkers, inform drug development strategies, enhance competitive intelligence, and provide business insights.
• →Be part of a cross-functional team to engage in external partnerships with hospitals, research institutes, universities, or CROs to develop innovative AI/ML-enabled imaging and data analytics.
• →Maintain data integrity and compliance by managing data lifecycle, accurate record keeping, authoring documentation including image analysis workflows, research reports, project meeting minutes and study logs.

To be successful in this role, you will have:

• Fresh graduates or those with 1-2 years of work experience are encouraged to apply. The ideal candidate will hold a Bachelor’s or Master’s degree in Computer science, Electrical engineering, Biomedical Engineering, Bioinformatics, Computational Biology, Biostatistics, with an exposure on Artificial Intelligence and image analysis.

• Possess a basic understanding in Image Processing, Computer Vision, Signal Processing, or AI/Machine Learning, using languages like MATLAB, Python, or R. This can be demonstrated through school projects or internship experiences.
• Capable of multitasking with good time-management and planning skills.
• Strong academic record with a keen interest in research-intensive environments.
• Effective written and oral communication skills.

• Integrating biology, imaging and data science
• Be part of the team delivering on the mission of leveraging AI/ML for drug development
• Collaborative working environment
• Opportunity to present science to stakeholders/collaborators.
• Opportunity to grow career and embrace a lifelong learning mindset

• LinkedIn profile if any.
• Publications in conference / journals if any
• Google Scholar, Github, Stack Overflow, Arxiv, and/or Kaggle profile if any.

Current Employees apply HERE

Current Contingent Workers apply HERE