Senior Specialist, Data Science (AI/ML Imaging & Omics)

About the role

MSD is hiring a Senior Specialist, Data Science (AI/ML Imaging & Omics) for its Tissue Biomarkers & Analytics team in the Biopolis research laboratory in Singapore. The role sits at the intersection of medical and disease biology, imaging and omics technologies, big data and biobanks, and contributes to pipeline decisions and drug discovery.

Key responsibilities

• Develop AI/ML and image analysis techniques to analyse multimodal medical images (MRI, CT, PET, OCT) and integrate them with omics and clinical data to discover and validate biomarkers.
• Design, develop and validate AI-enabled imaging analytics pipelines, including segmentation, registration, feature extraction and quantitative imaging measures, applied to large-scale datasets such as biobanks and clinical cohorts.
• Formulate hypotheses, run analyses and interpret AI/ML findings to support target identification, validation and drug discovery, and contribute to study design.
• Integrate imaging-derived phenotypes with molecular, omics and clinical data to link quantitative imaging features to disease biology and treatment response.
• Stay current with AI/ML approaches for medical imaging, evaluate internal and external datasets, and collaborate with internal stakeholders, research institutes, CROs and vendors.
• Present AI/ML solutions and results to project teams and partners, and author project proposals, publications, technical reports and documentation.

Required profile

• PhD in Computer Science, Data Science, Electrical/Biomedical Engineering, Biomedical Sciences, Computational Biology, Physics or a related field; alternatively a master's or bachelor's degree with 5+ years of research experience in AI/ML, medical image analysis or biomedical data science.
• Strong background in computer vision, machine learning and deep learning applied to medical imaging and/or biomedical data.
• Significant hands-on experience in medical image analysis and AI/ML imaging pipelines, and with large-scale imaging datasets and biobanks.
• Experience or strong interest in integrating imaging with omics and clinical data, and knowledge of cardiometabolic, immunological, neurological or ophthalmological disease biology is advantageous.
• Self-motivated, able to work independently and collaboratively, with strong written and verbal communication skills.

Required skills

• Python and/or R, with frameworks such as ITK, SITK, OpenCV, scikit-learn, PyTorch or TensorFlow.
• Image segmentation, registration, feature extraction and quantitative image analysis.
• Familiarity with scalable computing and ML platforms such as AWS, HPC, Google Cloud, Azure or Databricks is advantageous.