Machine Learning Scientist
Summary
Build AI models for drug discovery and diagnostics using multimodal health data, ensuring clinical interpretability and compliance with healthcare standards.
Mô tả công việc: About Us
Nanyang Biologics (NYB) is a biotechnology company leveraging AI to revolutionize drug discovery and develop innovative therapeutics inspired by nature. Through advancing AI-driven solutions in the pharmaceutical industry, we address the complex and costly challenges of discovering effective treatments for difficult diseases.
Roles and Responsibilities
As a Machine Learning Scientist, your primary responsibilities will include:
Qualifications
Benefits
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
Quyền lợi ứng viên: Môi Trường Năng động, Nghỉ thứ 7chủ nhật, Quà tặng lễ Tết, Tăng lương, Team Building
Yêu cầu hồ sơ:
Từ khóa việc làm: Khoa Học Máy Tính, CNTT khác, RD, Công Nghệ Sinh Học, AI
Kỹ năng cần có: Python, Đọc Tài Liệu, Tiếng Anh, Docker, Phân tích Dữ liệu
Kinh nghiệm làm việc: Không yêu cầu kinh nghiệm
Giới tính: Không yêu cầu
Nanyang Biologics (NYB) is a biotechnology company leveraging AI to revolutionize drug discovery and develop innovative therapeutics inspired by nature. Through advancing AI-driven solutions in the pharmaceutical industry, we address the complex and costly challenges of discovering effective treatments for difficult diseases.
Roles and Responsibilities
As a Machine Learning Scientist, your primary responsibilities will include:
- Developing and refining ML models to support real-time health predictions and diagnostics across structured and unstructured data sources, including clinical records, imaging, and sensor data.
- Integrating multimodal health data sources and applying fusion techniques to provide clinicians with comprehensive insights into patient health.
- Implementing interpretability methods (e.g., SHAP, attention mechanisms) to ensure model predictions are transparent and tailored to clinical use cases.
- Managing ML pipeline processes, including model versioning, CI/CD for model updates, and monitoring for continuous improvement.
- Ensuring adherence to healthcare data standards (HIPAA, GDPR) in model handling and data processing.
Qualifications
- Masters degree or higher in Computer Science, Bioinformatics, Computational Biology, or a related field, with substantial research experience.
- At least 3-5 years of experience.
- Advanced Python skills, with deep expertise in machine learning libraries, particularly PyTorch, NumPy, and SciPy.
- Experience developing, training, and deploying deep learning models, ideally for applications in biology or healthcare.
- Proficiency in machine learning DevOps practices, including CI/CD, containerization (Docker), and version control (Git).
- Strong understanding of bioinformatics and computational biology is a significant advantage.
- Ability to tackle complex scientific and engineering challenges independently and collaboratively.
- Excellent verbal and written skills to articulate complex technical concepts clearly and effectively.
- Fluent in English
Benefits
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
- Competitive salary
- Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter.
- Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts.
- Work on impactful projects that address critical challenges in drug discovery and healthcare.
Quyền lợi ứng viên: Môi Trường Năng động, Nghỉ thứ 7chủ nhật, Quà tặng lễ Tết, Tăng lương, Team Building
Yêu cầu hồ sơ:
Từ khóa việc làm: Khoa Học Máy Tính, CNTT khác, RD, Công Nghệ Sinh Học, AI
Kỹ năng cần có: Python, Đọc Tài Liệu, Tiếng Anh, Docker, Phân tích Dữ liệu
Kinh nghiệm làm việc: Không yêu cầu kinh nghiệm
Giới tính: Không yêu cầu