About This Role
This senior specialist role focuses on AI ethics and governance, working within a diverse and dynamic team in Singapore. The position involves leading AI risk assessment, mitigating risks in AI projects, and implementing explainable AI (XAI) solutions. It suits a self-motivated individual passionate about building a fairer and more inclusive AI ecosystem, with opportunities to explore multiple focus areas in a rapidly growing field.
Responsibilities
- Lead the AI risk assessment team, developing and running AI risk management processes and infrastructure
- Support the development and growth of team members
- Work with business and technical stakeholders to identify and assess potential risks and impacts, recommend appropriate mitigations, and prevent harm in AI projects
- Test and audit data sets, models, and AI solutions for bias, fairness, and explainability using open-source and enterprise tools
- Support the development and implementation of policy processes and further the field of AI ethics
- Be involved with building a safe, responsible, and ethical AI ecosystem within the organization and external industry
- Research and stay on top of AI developments, best practices, and regulatory changes
- Develop guidance and contribute to external initiatives
Requirements
- Bachelor's or Master's Degree in any field
- Experience in AI ethics and responsible AI, with in-depth knowledge of AI, ML, Generative AI, agentic systems, and the emerging technology landscape
- Experience with trust and safety, risk management, or governance
- Ability to lead and teach others
- Ability to foster a collaborative, positive, and inclusive team culture
- Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
- 4+ years relevant working experience
Nice to have:
- Qualifications in analytical and technology disciplines, such as Engineering, Sciences, Mathematics, Computer Science, or in Law, Philosophy, or Psychology
- Hands-on code development experience in Data Science, Machine Learning, Generative AI, and agentic systems (Python, generative models / LLMs, synthetic data, etc.)
- Knowledge of XAI (SHAP, LIME, etc.)
- Knowledge of law, IP, policy, regulatory processes, or industry standards in AI or related fields
- Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial, and corporate functions
Important Details
- Application deadline: 30 November 2026
- Flexible Work Arrangements: Hybrid
About the Company
This premier biopharmaceutical company has been in Singapore for more than 25 years and in Asia Pacific for over 60 years. It has been recognized as a top-ranked employer in Singapore for three consecutive years (2020, 2021, 2022).