Associate Specialist, Imaging and Data Science

About the role

MSD's Translational Medicine Research Centre in Singapore integrates biology, imaging technology, big data and data science to discover novel biomarkers for drug discovery and development. As Associate Specialist, you will use AI/ML and image analysis to turn large amounts of preclinical and clinical imaging data, together with biobank data, into insights that guide drug discovery. The position is temporary (fixed term).

Key responsibilities

• Conduct, optimise and troubleshoot imaging and data analytics work supporting drug discovery and development, meeting project timelines.
• Help develop novel imaging biomarkers, including AI/ML-enabled software algorithms for image and data analysis.
• Analyse big data from biobanks and cohort studies to advance understanding of human biology and disease.
• Review scientific literature and run database searches to guide biomarker development, drug development strategy and competitive intelligence.
• Take part in cross-functional teams building external partnerships with hospitals, research institutes, universities or CROs on AI/ML imaging and data analytics.
• Maintain data integrity and compliance, manage the data lifecycle, keep accurate records and author documentation such as image analysis workflows, research reports, meeting minutes and study logs.

Required profile

• Fresh graduates or candidates with 1-2 years of work experience are encouraged to apply.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Bioinformatics, Computational Biology or Biostatistics, with exposure to AI and image analysis.
• Strong academic record and interest in research-intensive environments.
• Good time management, multitasking, written and oral communication skills.

Required skills

• Basic understanding of image processing, computer vision, signal processing or AI/machine learning.
• Experience with MATLAB, Python or R, shown through school projects or internships.

Applicants should be able to share their LinkedIn profile, publications, and profiles on Google Scholar, GitHub, Stack Overflow, ArXiv or Kaggle. Current employees and contingent workers apply separately; search firm representatives are asked not to contact the employer directly.