Scientist - Ai/ml/llm Enhancement of Tools (A star Bii)

5 days ago

Singapore A*STAR Agency for Science, Technology and Research Full time

**Responsibilities**:
Develop and implement AI/ML based enhancements for platform tools and trackers, including features for anomaly detection, predictive analytics, and automated data classification.
Assist in the incorporation of LLMs to support natural language interfaces, automated summaries, and smart query functionalities for users.
Support the integration of federated learning and synthetic data techniques to improve privacy preserving analytics and model training.
Collaborate with domain experts to define use cases where AI technologies can augment genomic data visualization, exploration, and reporting.
Prototype and evaluate machine learning models using real world pathogen data, assessing performance, scalability, and interpretability.
Contribute to backend pipelines that power interactive dashboards, ensuring AI features are seamlessly integrated and optimized for real time usage.
Engage with end users to gather feedback on AI driven features and iterate on functionality based on usability insights.
Document model development, deployment workflows, and system behavior for reproducibility and future scaling.
Stay on top of emerging AI/ML technologies and trends in genomics, recommending innovations for future adoption.
**Job Requirements**:
PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field with specialization in AI/ML.
Hands on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit learn) and NLP/LLM platforms (e.g., Hugging Face Transformers, OpenAI APIs).
Familiarity with modern AI architectures, including transformers, generative models, and federated learning frameworks.
Proficiency in Python and working knowledge of APIs, backend services, and data processing pipelines.
Understanding of bioinformatics data formats and pathogen genome data is a plus.
Ability to translate technical innovations into practical, user facing features with measurable impact.
Strong problem solving skills, independence, and a collaborative approach to interdisciplinary work.
Excellent communication skills for presenting results to technical and non technical audiences.
**Type of Employment**: Full-Time
**Minimum Experience**: 2 Years
**Work Location**: Matrix

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