Research Scientist AI/ML Foundational Models
$111.8k/y-$175.67k/y
BioSpace2 days ago
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OnsiteFull-timeMid
Summary
Takeda is seeking a Research Scientist AI/ML Foundational Models to join their team in Boston, MA. The role involves developing and deploying foundational AI models to transform drug discovery processes.
About the Role
As a Research Scientist in the AI/ML Foundation team, you will build large-scale models including large language models (LLMs), diffusion models, and multimodal architectures that integrate diverse data types. Your responsibilities will include training models from scratch, fine-tuning pre-trained models for specific applications, and deploying capabilities that accelerate discovery across therapeutic platforms. You will collaborate with computational scientists and apply state-of-the-art approaches to ensure scientific validity in model development.
About You
Required:
- PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field, or MS with 6+ years relevant experience, or BS with 8+ years relevant experience.
- Deep expertise in modern deep learning architectures including transformers, diffusion models, and/or generative models.
- Strong experience training large-scale models with proficiency in PyTorch and distributed training frameworks.
- Foundational knowledge of biology, chemistry, or disease biology sufficient to guide scientifically meaningful model development.
- Experience with at least one of: protein language models, molecular generative models, or biomedical vision models.
- Experience with cloud computing (AWS, GCP) and GPU cluster training at scale.
Preferred:
- Experience building or fine-tuning foundation models in pharmaceutical or life sciences settings.
- Expertise in multimodal learning integrating text, images, and structured molecular data.
- Experience with omics data analysis and knowledge graph.
- Familiarity with protein structure prediction and 3D molecular representations.
- Publications in top-tier ML venues or computational biology journals.
- Experience with model compression, efficient inference, or production deployment of large models.
- Strong background in large-scale data integration and multimodal modeling for biological systems.
- Proficiency in Python and ML libraries; familiarity with Unix tools.
- Excellent collaboration and communication skills.
Benefits
- Competitive base salary ranging from $111,800 to $175,670.
- Eligibility for short-term and long-term incentives.
- Medical, dental, and vision insurance.
- 401(k) plan with company match.
- Short-term and long-term disability coverage.
- Basic life insurance.
- Tuition reimbursement program.
- Paid volunteer time off.
- Company holidays and well-being benefits.
- Up to 80 hours of sick time and up to 120 hours of paid vacation.
BioSpace
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Boston, MA