Scientist - AI/ML/LLM Enhancement of Tools (A*STAR BII)

Borr Drilling; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

An innovative global company seeks a talented AI/ML Specialist to advance technological integration within health data analytics. The successful candidate will leverage their PhD expertise in machine learning and bioinformatics to develop predictive analytics tools, enhance user experience through smart functionalities, and drive research innovations in the genomics field. This full-time role requires at least two years of practical experience with relevant AI frameworks and a strong collaborative approach to interdisciplinary work.

Qualifications

• PhD with specialization in AI/ML.
• Hands on experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of bioinformatics data formats and genomics.

Responsibilities

• Develop and implement AI/ML based enhancements for tools and trackers.
• Collaborate with domain experts to define AI use cases.
• Engage with users to gather feedback on AI features.

Skills

Machine Learning

Natural Language Processing

Data Processing

Python

Collaboration

Problem Solving

Education

PhD in Computer Science, Data Science, Bioinformatics, or related field

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

OpenAI APIs

Job description

The candidate will play a key part in identifying opportunities for technological integration, developing prototypes, and translating AI/ML research into practical enhancements across tools, trackers, and reports related to emerging and priority pathogens.

Job 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.
Demonstrated experience applying AI/ML to biological or public health datasets is highly desirable.
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.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
Type of Employment : Full-Time
Minimum Experience : 2 Years
Work Location : Matrix