Key Responsibilities
1. Strategic Business Analysis & Consulting
- Lead business analysis and consulting projects focused on AI-enabled transformation and digital optimization within biotechnology operations.
- Develop data-driven frameworks to assess product performance, R&D efficiency, market entry potential, and operational scalability.
- Conduct financial modeling, ROI assessments, and feasibility studies to support executive decision-making.
- Advise leadership on governance, compliance, and tax strategy for regional and international business operations.
2. AI & Technology-Driven Innovation
- Collaborate with biotech research and operations teams to implement AI-based analytical systems, including 3D modeling and robotic process guidance tools.
- Lead the development of B2B AI insight platforms that provide real-time data on market trends, production efficiency, and clinical or product performance.
- Apply machine learning and predictive analytics to optimize R&D cycles, supply chain logistics, and customer engagement strategies.
- Evaluate emerging AI technologies and recommend solutions that align with biotech commercialization goals.
3. Data Analytics & Operational Efficiency
- Build and manage data visualization dashboards that consolidate KPIs across R&D, production, and marketing teams.
- Analyze complex datasets to identify inefficiencies, uncover opportunities, and forecast growth trends.
- Translate analytical findings into strategic action plans that improve cost control, productivity, and innovation outcomes.
- Standardize data governance and reporting systems across multi-site operations.
4. Market Strategy & Expansion
- Conduct detailed biotech market research and competitor analysis to inform product positioning and go-to-market strategies.
- Lead cross-border expansion initiatives across Southeast Asia, ensuring alignment with regulatory and commercial requirements.
- Support partnership development with distributors, clinics, and research institutions through data-backed consulting insights.
Key Requirements / Qualifications
- Minimum 5-8 years of hands-on experience in the biotechnology industry
- Proven track record in business analysis, data-driven strategy consulting, or operational transformation within biotech.
- Strong understanding of AI systems, 3D imaging technologies, and robotic-assisted solutions relevant to biotech and cosmetic applications.
- Proficiency in data analytics tools such as Power BI, Tableau, SQL, and Python (for data analysis).
- Demonstrated success in implementing AI or data frameworks to support business or operational goals.
- Excellent communication, stakeholder management, and problem-solving skills.
- Experience working on cross-border projects, particularly in China and Southeast Asia.
