• As Senior Data Scientist for Foundation Model you will be responsible for developing, training, and implementing advanced AI/ML methodologies and techniques to identify disease biology from large scale biological data
• You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets
• 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

This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely

• Experience with modern computer vision architectures (e.g., CLAM, Swin Transformers, Segment Anything) is highly valued
• 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

No Travel 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 Artificial Intelligence (AI), Computer Vision, Convolutional Neural Networks (CNN), Data Analysis, Data Science, Deep Learning, Digital Pathology, Foundation Model Fine Tuning, Foundation Models, Image Analysis, Image Processing, Life Science, Machine Learning (ML), Medical Imaging, Model Development, Transformer Model Drug Discovery Process, Drug Discovery Research, Genomics, Multimodality Imaging, Transcriptomics

An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs

• The successful candidate will be eligible for annual bonus and long-term incentive, if applicable
• We offer a comprehensive package of benefits
• Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days

More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits