Scientist Manger, AI - Skin Bioscience Discovery Accelerator
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
aidata sciencebioinformaticsmultimodal aiactive learningcomputational biologybiostatisticsskin biologybiological foundation models
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Роль сочетает прикладной ИИ и биологические исследования в крупной международной компании, но без информации о зарплате, команде и карьерном росте оценить условия сложнее.
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Зарплата не указанаПередовой ИИКрупный работодательПонятная роль
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Hirify AI/Оригинал
TL;DR
Scientist Manger, AI - Skin Bioscience Discovery Accelerator (AI/Computational Biology): Building AI-enabled scientific workflows and discovery platforms for skin and scalp biology with an accent on multimodal data, biological modeling, and experimental validation. Focus on designing multi-agent DBTL systems, integrating foundation models and scientific tools, and translating biological questions into model-driven experiments.
Location: Singapore TC-Biopolis
Company
Procter & Gamble develops globally recognized consumer brands and scientific technologies across approximately 70 countries.
What you will do
Design and improve Design-Build-Test-Learn multi-agent scientific workflows connecting biological understanding, data generation, modeling, and experimental validation.
Enable AI agents to use internal databases, APIs, simulation tools, OMICS pipelines, dashboards, and scientific models for evidence retrieval, hypothesis generation, mechanistic reasoning, experiment planning, and decision support.
Evaluate and apply agentic AI, AI Scientist systems, biological foundation models, and AI Co-Scientist architectures.
Collaborate with experimental scientists and technology teams to translate biological questions into computational frameworks and model-driven discovery experiments.
Help develop the AI-enabled discovery platform for the Skin Bioscience Discovery Accelerator.
Requirements
Bachelor’s, Master’s, or PhD degree in Data Science, Bioinformatics, Computational Biology, Biostatistics, or a related field with Applied AI experience.
3–5 years of relevant experience, ideally including AI for life or biological sciences.
Strong innovation, experimentation, execution, communication, and collaboration skills.
Experience solving difficult technical problems and developing new ideas, technologies, methods, or solutions.
Experience in skin and hair follicle biology is preferred.
Nice to have
Experience with biological foundation models, multimodal scientific AI, active learning, or AI Co-Scientist systems.
Experience in skin and hair follicle biology.
Culture & Benefits
Work at the convergence of advanced human biology, multimodal data generation, experimental platforms, and artificial intelligence.
Contribute to scientific innovation intended to improve health, wellness, confidence, and quality of life.
Inclusive workplace committed to equal employment opportunities.
Full-time employment.
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