обновлено 9 дней назад
Senior Machine Learning Scientist (AI for Biology & Translation)
147 800 - 274 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Scientist (AI for Biology & Translation): Developing and applying foundation models, large language models, multimodal models, and generative AI for biomedical discovery with an accent on biological data integration, model evaluation, and translational research. Focus on designing scalable machine learning workflows, adapting and interpreting large-scale AI models, and building reproducible production-quality systems for genomics, imaging, and clinical data.
Location: South San Francisco, California, United States of America
Salary: $147,800–$274,400 per year. A discretionary annual bonus may also be available.
Company
develops medicines and applies computational science, artificial intelligence, and biomedical research to accelerate drug discovery and development.
What you will do
- Develop and apply advanced machine learning methods to biology and translational research problems.
- Develop, adapt, evaluate, and deploy foundation models, large language models, multimodal models, and generative AI approaches for biomedical applications.
- Design scalable workflows integrating biological, molecular, imaging, and clinical datasets.
- Optimize, benchmark, validate, and interpret AI models for scientific use.
- Collaborate with computational scientists, software engineers, biologists, clinicians, and therapeutic area researchers.
- Establish best practices for model development, evaluation, reproducibility, and deployment.
Requirements
- Ph.D. in machine learning, computer science, artificial intelligence, computational biology, statistics, or a related quantitative discipline, with significant postdoctoral or industry experience.
- Deep expertise in deep learning, foundation models, generative AI, large language models, multimodal learning, or related areas.
- Experience leading technically complex machine learning projects from research through deployment or scientific application.
- Strong programming skills in Python and experience with PyTorch, JAX, TensorFlow, and Hugging Face.
- Experience adapting, fine-tuning, evaluating, and deploying large-scale AI models and building reproducible, scalable machine learning pipelines.
- Work location: South San Francisco, California, United States. Relocation benefits are not available.
Nice to have
- Experience with multimodal biomedical datasets, including genomics, transcriptomics, proteomics, imaging, pathology, or clinical data.
- Experience building production-quality AI systems or scalable machine learning infrastructure.
- Publications or significant technical contributions in machine learning, artificial intelligence, computational biology, or related disciplines.
Culture & Benefits
- Collaboration across computational and experimental disciplines.
- Opportunities to apply emerging AI technologies to biomedical discovery and drug development.
- Benefits are available for the position.
- The role is part of the Computational Sciences Center of Excellence supporting Research and Early Development and Pharma Research and Early Development.
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