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Merck · 4 months ago

Senior Data Scientist – Computer Vision & Biomedical Imaging

USA - Massachusetts - Cambridge (320 Bent Street)

Full-time

Hybrid

Mid, Senior Level

$142K/yr - $223K/yr

4+ years exp

Merck is a leading company in the pharmaceutical industry, and they are seeking a Senior Data Scientist specializing in Computer Vision and Biomedical Imaging. The role involves developing and implementing advanced AI/ML methodologies to identify disease biology from large-scale biological data, collaborating with cross-functional teams to drive drug discovery efforts.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

H1B Sponsored

Responsibilities

Design and develop, train, and implement novel ML algorithms particularly transformer-based Foundation Models for Target discovery leveraging large scale biological and imaging data

Rapidly prototype and iterate on model architectures using real-world data

Integrate multi-modal data (e.g., histology, spatial omics) into scalable learning frameworks

Collaborate with biologists and data scientists to define modeling goals and interpret results

Contribute to our long-term AI/ML strategy for drug discovery

Publish research findings in relevant conferences and journals and actively contribute to the scientific community through knowledge sharing and collaborations

Qualification

Deep LearningComputer VisionMachine Learning (ML)Foundation ModelsDigital PathologyLarge-scale Model DevelopmentPythonData ScienceImage AnalysisMedical ImagingLife ScienceImage ProcessingData AnalysisTransformer ModelFoundation Model Fine TuningCollaborationCommunication Skills

Required

PhD in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field with 0+ years postdoctoral experience or Master's degree with 4+ years of industry experience

Strong background in deep learning, digital pathology, computer vision, and/or medical image analysis

Experience with large-scale model development and training (e.g., CNNs, transformers, contrastive/self-supervised learning)

Strong expertise and experience in modern AI/ML approaches, transformer-based Foundation models, representation learning, and related methodologies

Proficiency in programming languages such as Python, and experience with deep learning frameworks and libraries like PyTorch, etc

Interest in life sciences problems and disease biology, and willing to learn from and teach others

Excellent communication skills and ability to work collaboratively in multi-disciplinary team