Drive Real Impact: Lead an assigned project from inception to completion, applying your technical and analytical skills to solve a tangible business challenge (e.g., optimizing rider routing, scaling vendor acquisition).
Accelerated Learning: Deepen your technical expertise (e.g., SQL, Python, campaign execution) by working with real, high-volume data that directly influences our market strategy.
Cross-Functional Collaboration: Navigate a fast-paced, agile environment, collaborating with stakeholders across different seniority levels and backgrounds (Local Teams, Regional Hubs)....
Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.
Project backgroundMessenger RNA (mRNA)-based therapeutics, including vaccines, represent a transformative class of drugs for infectious diseases and cancer immunotherapy. Their programmable nature allows rapid adaptation to evolving pathogens and personalized medicine, but effective design of mRNA molecules remains a key bottleneck. Current development relies on trial-and-error methods, leading to long timelines, high costs, and suboptimal outcomes.This project aims to develop an agent-based generative AI system to design both linear and circular mRNA molecules. By unifying the design process into a data-driven, adaptive pipeline, the system will optimize vaccine stability, minimize unwanted immune responses, and accelerate early-stage research and development from months to hours. The outcome will be a robust, scalable platform for creating effective mRNA vaccines for infectious diseases, cancer, and beyond.
Job description
We are looking for a highly motivated postdoctoral researcher to:- Develop generative AI models for mRNA optimization- Develop foundation models for mRNA assessment- Run large-scale pretraining on high-performance computing infrastructure- Perform model finetuning and hyperparameter optimization- Evaluate models on experimental dataProfileWe welcome applications from candidates with:- A PhD in computer science, computational biology, applied mathematics, physics, or a related field- Proven experience in deep learning research and development- Publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, etc)- Strong experience in Python programming and solid software engineering skills- Experience with biomolecules and/or high-performance computing is a plus- Interest in biology, biomolecules, or genomics (prior expertise not required)- A structured, independent, proactive, and collaborative working style...
Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
Deliver actionable business insights to internal and external stakeholders....
Lead the construction of the global payment data warehouse and data model design, and develop offline and real-time data pipelines.
Oversee global payment data governance, metric system development and data service delivery, ensuring data accuracy, stability and consistency.
Develop AI applications on enterprise data aligned with business scenarios, including intelligent Q&A, data analysis assistants, knowledge retrieval and automated insight generation....
Lead research on reinforcement learning and sequential decision-making under uncertainty.
Couple RL methods with crop digital twins, using them as simulators to identify adaptive farm management strategies that balance yield, greenhouse gas emissions and farmer income.
Extend methods to multi-agent and policy settings to support national and regional decisions, including food trade and climate-related scenarios....