AI Research Scientist (R2), Singapore

Our IT team partners with the business to design innovative solutions across research, manufacturing, commercial, and animal health. You’ll help shape company-wide products using generative AI and intelligent agents to boost productivity and drive innovation.

• 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, or Image processing (highly preferred).
• Experience in quantitative, scientific, and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, or Bioinformatics.
• Understanding of artificial intelligence research landscape and ability to review research publications, particularly in 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, ML frameworks, and other AI disciplines.
• Familiarity with developing and deploying within a cloud‑based infrastructure and services (AWS or MS Azure environment) is a plus.
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is a plus.

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

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