Senior Machine Learning Scientist, Foundation Model
Merck · Cambridge (320 Bent Street), MA
ResearchFull-time$145k–$228kCompany career page
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Role summary
Merck seeks a Senior Machine Learning Scientist to develop and train large-scale foundation models on biological data within the Data, AI, and Genome Sciences function. The role focuses on advancing disease understanding and therapeutic discovery through novel AI/ML approaches applied to target and biomarker identification.
What they're looking for
- PhD in Computer Science, Applied Math, Physics, Computational Biology, Biostatistics, or related STEM field
- Strong expertise in transformer-based foundation models, representation learning, and diffusion models
- Experience pre-training large-scale or multi-modal foundation models on multiple GPUs
- Proficiency in Python and deep learning frameworks, particularly PyTorch ecosystem
- Interest in life sciences and disease biology with collaborative communication skills
- Familiarity with biological data and biological foundation models (preferred)
What you'll be doing
- Collaborate with cross-functional teams to identify research questions and develop appropriate ML solutions
- Design, develop, train, and implement novel transformer-based foundation models for target and biomarker discovery
- Monitor advancements in AI/ML approaches and apply relevant innovations to improve methodologies
- Publish research findings in peer-reviewed journals and contribute to scientific community knowledge sharing
Privacy & handoff
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