Role Description Hire Digital is seeking a Market Researcher based in Thailand or China to support strategic market intelligence initiatives across the medical aesthetics and healthcare landscape. This role will focus on gathering market insights, competitor activity, customer trends, channel developments, and commercial opportunities within the Thailand / China markets and broader APAC region. This is an ideal opportunity for professionals with experience in market research, business intelligence, healthcare consulting, commercial strategy, or competitive intelligence who can turn complex market information into clear and actionable insights. Responsibilities - Conduct primary and secondary research across the medical aesthetics and healthcare sectors. - Monitor competitor activity across injectables, fillers, toxins, devices, skincare, and adjacent categories. - Track product launches, pricing movements, partnerships, marketing campaigns, and channel strategies. - Perform market sizing, segmentation, growth trend analysis, and whitespace opportunity mapping. - Conduct interviews with industry experts, distributors, clinics, physicians, or other stakeholders where required. - Analyze consumer behavior, physician demand trends, and market adoption patterns. - Build regular market intelligence reports, dashboards, presentations, and executive summaries. - Support ad hoc projects including market entry studies, competitor benchmarking, portfolio reviews, and opportunity assessments. - Translate research findings into practical commercial recommendations for stakeholders. Qualifications - 3+ years of experience in market research, business intelligence, consulting, strategy, insights, or competitive intelligence. - Strong knowledge of the Thailand or China healthcare / medical aesthetics market. - Experience researching sectors such as injectables, skincare, beauty, devices, pharmaceuticals, wellness, or consumer healthcare preferred. - Familiarity with leading global and regional players such as Merz, Galderma, Allergan/AbbVie, Hugel, Classys, Bloomage, Imeik, and other market participants is a plus. - Strong desk research, analytical, and problem-solving skills. - Ability to synthesize complex information into concise insights and recommendations. - Strong PowerPoint, Excel, and presentation skills. - Ability to work independently and manage multiple deadlines in a fast-paced environment. - Fluency in Thai or Mandarin required (depending on market focus); strong English communication preferred.

Role Description We are looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. The work will be challenging, as it will involve predictive modeling for a variety of topics like: - Transaction dependencies - User behavior - Network behavior We’re looking for someone who has excelled in other environments where predictive analytics had a direct impact on the bottom line, such as high-frequency trading or traditional tech. Your work will directly impact the performance and economics of one of the biggest upcoming blockchain projects in the space. What You Will Do: - Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior. - Devise and prototype a variety of approaches before finding the correct solution. - Implement production-grade solutions and take end-to-end ownership of production prediction pipelines. Qualifications - At least 3 years of experience building predictive models, preferably at a HFT firm. - You’re creative, self-motivated, and independent. - Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets. - Proficient in numpy and pandas. - You’ve built something significant from scratch. - Bonus: You are crypto-native. Benefits - Challenging problems. - You’ll tackle deeply complex and technically demanding problems, with autonomy and impact. - Endless Opportunity for Impact. - The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are slow and bandwidth-constrained. - Monad’s core innovations offer developers and founders the best of both worlds (portability and performance) and are a game-changer to power global on-chain finance. - The right team. - You’ll be part of a world-class team, who are exceptional and highly motivated. - Culture: We’re a lean team working together to achieve very ambitious goals, united in our culture of collaboration, low ego, and high-quality output. - Strong Ecosystem: The broader Monad ecosystem has attracted support from leading investors, builders, and long-term contributors. Company Description The Monad Foundation is a team of dedicated ecosystem and community builders who are on a mission to massively grow the impact of decentralized tech. We believe that the Monad blockchain—the performant and parallel EVM Layer 1—will help decentralized apps eat the world.

• Lead end‑to‑end user research for internal teams and external stakeholders. • Translate research findings into actionable insights, frameworks, and recommendations. • Provide accurate, research‑backed information to enable data‑driven decisions. • Partner with Customer Delivery to translate VOC and UX findings into process improvements. • Centralize data and analytics needs related to internal services, operational health, product/service performance, and UX research. • Ensure data quality, consistency, and traceability for research and analytics. • Develop, support, and evolve standards, policies, and best practices for product and UX research. • Coach and enable teams on applying UX research and CX standards in projects. • Collaborate across STS to identify opportunities for customer experience consistency. • Facilitate research cycles combining UX and lean best practices.

• Build strong, trusted relationships across Jane, helping teams stay connected to real customer needs and bringing curiosity and empathy into how decisions are made • Deliver clear, actionable insights that influence product direction and help teams understand what truly creates a delightful experience • Raise the bar for research quality and consistency by building on existing practices and supporting others to run thoughtful, effective research in their day-to-day work • Create and improve systems, tools, and practices that make research more accessible, scalable, and easy to apply across multiple teams • Consistently prioritize and deliver meaningful research in a fast-moving environment, balancing speed with depth while focusing on the highest-impact opportunities