Applied AI Scientist
Công ty cổ phần Giải pháp gen (Gene Solutions)
Địa điểm làm việc: Hồ Chí Minh
Hết hạn: 27/01/2025
- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Thỏa Thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Mô tả công việc
Tóm tắt công việc
We are seeking a talented and innovative Applied AI Scientist to spearhead the development of AI-powered solutions in precision oncology. In this role, you will lead a team to collaborate with oncologists, data scientists, and software engineers to design machine learning models and algorithms that drive cancer treatment discovery, optimize clinical decision-making, and predict patient outcomes using multi-omics data.
Key Responsibilities
Lead the design and development of state-of-the-art machine learning models applied to large-scale genomic and clinical datasets to identify novel cancer treatments and stratify patients for personalized medicine.
Innovate in large language model to push the boundaries of precision medicine.
Work closely with clinical experts, biologists, and data scientists to translate scientific insights into practical, AI-driven healthcare applications.
Validate AI models against real-world clinical data, ensuring model accuracy and clinical relevance.
Foster a collaborative environment, ensuring smooth integration between data engineering, analysis, and AI research.
13th month salary.
Holidays and full annual leave in accordance with State regulations.
Participate in all insurances (social insurance, health insurance, unemployment insurance), enjoy full policies and regimes according to the Labor Law.
Dynamic and humane working environment Annual trip.
We are seeking a talented and innovative Applied AI Scientist to spearhead the development of AI-powered solutions in precision oncology. In this role, you will lead a team to collaborate with oncologists, data scientists, and software engineers to design machine learning models and algorithms that drive cancer treatment discovery, optimize clinical decision-making, and predict patient outcomes using multi-omics data.
Key Responsibilities
Lead the design and development of state-of-the-art machine learning models applied to large-scale genomic and clinical datasets to identify novel cancer treatments and stratify patients for personalized medicine.
Innovate in large language model to push the boundaries of precision medicine.
Work closely with clinical experts, biologists, and data scientists to translate scientific insights into practical, AI-driven healthcare applications.
Validate AI models against real-world clinical data, ensuring model accuracy and clinical relevance.
Foster a collaborative environment, ensuring smooth integration between data engineering, analysis, and AI research.
13th month salary.
Holidays and full annual leave in accordance with State regulations.
Participate in all insurances (social insurance, health insurance, unemployment insurance), enjoy full policies and regimes according to the Labor Law.
Dynamic and humane working environment Annual trip.
Yêu cầu
Prefer: Ph.D. or Master's degree in AI, Machine Learning or a related field.
Previous working experience with biological data analysis, especially genomics, transcriptomics, or multi-omics datasets is a plus.
Proven experience in building AI models for clinical decision-making, personalized medicine, or oncology applications.
Demonstrated record in working with multi-disciplinary teams and delivering impactful AI solutions.
Strong publication record in AI or precision medicine.
Excellent problem-solving skills, communication, and the ability to work effectively in collaborative environments.
Previous working experience with biological data analysis, especially genomics, transcriptomics, or multi-omics datasets is a plus.
Proven experience in building AI models for clinical decision-making, personalized medicine, or oncology applications.
Demonstrated record in working with multi-disciplinary teams and delivering impactful AI solutions.
Strong publication record in AI or precision medicine.
Excellent problem-solving skills, communication, and the ability to work effectively in collaborative environments.
Thông tin khác
Machine Learning
Data Analysis
Data Analysis
Thông tin chung
- Thu nhập: Thỏa Thuận
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 27/01/2025
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