AI Research Scientist, Singapore

We are seeking one energetic, forward‑thinking professional to join our AI Research Scientist team. This position requires 1‑2+ years of experience and is based in our Technology Center in Singapore.

We offer project‑based rotations, a flat collaborative environment, and a hybrid working model with flexible role patterns.

We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

• Perform research, assessments, and technical evaluations of AI models, methods, and frameworks to solve problems or derive benefits to company AI capabilities and generative AI program
• Conduct feasibility studies and create working proof of concepts for use‑cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery
• Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company
• Assist in technical training to up‑skill colleagues to raise the data science competency levels within the company
• Proactively scan and keep up to date with AI research

• Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing is highly preferred
• We evaluate candidates on a case‑by‑case basis but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics
• Understanding of artificial intelligence research landscape and ability to review research publications, particularly in one of the following fields: generative AI, Machine Learning (ML), Natural Language Processing (NLP), or Computer Vision (CV)
• Hands‑on code development experience and familiarity with the Python scientific computing stacks
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks; other AI disciplines regarded useful
• Familiarity with developing and deploying within a cloud‑based infrastructure and services (AWS or MS Azure environment) is plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is plus

• Exciting work in a great team, global projects, international environment
• Opportunity to learn and grow professionally within the company globally
• Hybrid working model, flexible role pattern
• Internal reward system plus referral program
• Competitive salary, incentive pay, and many more

• Business Intelligence (BI)
• Database Design
• Data Engineering
• Data Modeling
• Data Visualization
• Machine Learning (ML)
• Software Development
• Stakeholder Relationship Management
• Waterfall Model