Research Engineer Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D Role Overview Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. Core Mandate The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. Key Responsibilities Prototype Development - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems Research Tooling & Infrastructure - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance Experiment Enablement - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results System Integration Support - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early Role Impact Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. What This Role Is Not - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. Qualifications and Profile We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers Summary The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab

Head of Research & Development (R&D) Location: Global (Remote) Reports to: CEO Employment Type: Full-time Mission at Rwazi Rwazi’s long-term advantage depends on expanding the frontier of what decision systems can reason about. The Head of R&D owns long-horizon capability development — exploring, prototyping, and formalizing the next generation of decision intelligence that will power future versions of Rwazi’s platform. This role operates beyond immediate roadmap pressures. It identifies structural opportunities in reasoning systems, signal modeling, AI-assisted judgment, and decision automation — and transforms them into foundational capabilities. The Head of R&D defines what Rwazi becomes 3–5 years from now. Core Mandate The Head of R&D is accountable for: - Advancing future decision system architectures - Formalizing higher-order reasoning capabilities - Exploring new signal classes and evaluation logic - Identifying structural AI leverage points - Converting research into reusable system primitives This is a capability-building role, not a feature-delivery function. Key Responsibilities Long-Horizon Capability Exploration - Identify unsolved reasoning challenges within Rwazi’s domain - Explore advanced decision frameworks beyond current product constraints - Develop conceptual models for higher-order AI reasoning systems - Investigate new signal environments and structured judgment methods Prototype & Formalization - Build experimental prototypes to test new system architectures - Formalize reasoning patterns into structured logic frameworks - Create reusable primitives that Product and Engineering can adopt - Document system logic in technically rigorous formats AI & Decision Systems Advancement - Push beyond current signal-to-output pipelines - Explore multi-layer reasoning and tradeoff modeling - Design evaluation criteria for increasingly complex decisions - Anticipate future enterprise use cases and model their structural requirements Strategic Interface with Executive Leadership - Advise CEO on long-term technical differentiation strategy - Translate research insights into strategic investment decisions - Identify potential defensibility moats Research Governance - Define standards for experimentation rigor - Establish evaluation frameworks for prototype validation - Maintain clarity between exploratory work and production systems Role Impact Strong performance in this role results in: - Structural differentiation in decision intelligence - New classes of solvable enterprise questions - Expansion of AI-assisted reasoning depth - Long-term defensibility against competitors - Research-driven product evolution This role ensures Rwazi does not stagnate at feature-level innovation. What This Role Is Not - This is not roadmap feature delivery - This is not short-term optimization - This is not pure academic research detached from application - This is not reactive problem-solving This role requires frontier thinking and disciplined formalization. Qualifications and Profile We are looking for individuals who demonstrate: - Deep systems thinking and formal reasoning ability - Experience designing structured decision frameworks - Strong understanding of AI systems, modeling logic, or computational reasoning - Ability to translate abstract research into usable system components - Comfort operating autonomously at high strategic altitude - Demonstrated work on complex, ambiguous problems Candidates may come from applied research, AI system design, computational modeling, advanced analytics, or technically rigorous environments. Cultural Fit We value leaders who: - Think in decades, not quarters - Formalize ideas with intellectual rigor - Challenge existing system boundaries - Operate independently without constant direction - Care about structural innovation over incremental gain This role is suited for builders who want to shape the long-term intelligence core of an AI-native company. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to formalize complex reasoning into structured systems - Evidence of pushing technical or decision boundaries - Clarity of thought in ambiguous domains - Ability to design experiments with rigor - Strategic alignment with long-term capability building We prioritize demonstrated intellectual depth and system-building ability over conventional titles. Summary The Head of R&D defines the next generation of Rwazi’s decision intelligence. This role ensures that as the market evolves, Rwazi advances beyond incremental product iteration — and continues to expand the frontier of what enterprise decision systems can reason about.

Role Description - Concevoir, développer, adapter et expérimenter de nouvelles méthodologies au sein de la plateforme TRIP pour développer de nouveaux outils et services innovants. - Concevoir, développer, adapter et expérimenter de nouvelles méthodologies au sein de l’équipe 2B pour mieux comprendre les états de pluripotences des stades précoces de l’embryon ainsi que leur programmation épigénétique et celle des spermatozoïdes. Activités principales - Concevoir et développer de nouveaux outils et modèles : - Concevoir des outils d’édition de génome, de modulation d’expression de gènes ou de programmation épigénétique dans diverses espèces (lapin, rat, homme, xénope, porc…). - Concevoir le développement et conduire un projet : - Gérer les moyens humains et financiers permettant le bon déroulement du projet et animer les réunions permettant son suivi et sa mise en place. - Diffuser et valoriser les résultats scientifiques, nouveaux outils ou services développés : - Rédiger des rapports ou articles scientifiques, présenter les résultats, nouveaux outils ou services lors de séminaires ou congrès. - Former à la mise en œuvre des techniques : - Former des étudiants, collaborateurs ou clients de prestation de service à l’utilisation des outils, modèles ou techniques développés. Qualifications - Formation et/ou qualification : doctorat en biologie. - Expériences antérieures bienvenues pour occuper le poste : 2 à 5 ans. - Niveau d'études minimum requis : Niveau 8 Doctorat/diplômes équivalents. - Spécialisation : Chimie-biologie, biochimie. Requirements - Savoirs généraux, théoriques ou disciplinaires : - Maîtrise de la biologie moléculaire. - Connaissance des contraintes du développement de modèles animaux ou cellulaires. - Connaissance en épigénétique et développement embryonnaire. - Savoir-faire opérationnels : - Maîtrise des techniques de base de biologie moléculaire (PCR, clonage…). - Maîtrise des outils CRISPR-Cas9. - Expérience en culture cellulaire, si possible cellules souche. - Capacité à rédiger des rapports, présenter des résultats ou des outils. - Savoir-être : - Capacité à travailler en équipe. - Rigueur, sens de l'organisation et de l'anticipation. - Créativité, sens de l'innovation. Benefits - Versant : Fonction publique d’État. - Type de recrutement : Catégorie A, contractuel·le, CDD de 9 mois (article L.332-2,3 du CGFP). Company Description Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Personnes à contacter : Jérôme JULLIEN – Jerome.Jullien@univ-nantes.fr

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting a frontier-model evaluation initiative focused on advanced STEM reasoning and agentic workflows. - Design challenging real-world STEM problems for model evaluation - Implement benchmark tasks inside agentic development environments using Python - Create reproducible tasks with executable tests and clearly defined specifications - Analyse model and agent outputs to identify reasoning gaps and failure modes - Evaluate how AI systems perform on complex data science, machine learning, finance, and coding tasks - Document benchmark tasks, environments, and evaluation outcomes Qualifications - Active or recently completed PhD from a top-tier U.S.-based university - Deep expertise in data science, machine learning, finance, and/or Python-based programming - Strong research background in advanced STEM domains - Experience designing complex technical problems or research benchmarks - Ability to analyse model reasoning traces and diagnose deeper system behaviour issues - Strong analytical and research documentation skills Requirements - PhD in Computer Science, Data Science, Machine Learning, Finance, or related STEM fields Nice to Have - Experience working with agentic frameworks or LLM tooling ecosystems - Familiarity with frameworks such as LangChain, AutoGen, MetaGPT, CrewAI, LlamaIndex, BabyAGI, or related systems - Contributions to open-source software or research projects - Experience analysing complex model behaviour or agent workflows Benefits - Independent contractor role - Fully remote with flexible scheduling - Part-time research engagement with expected availability of 30+ hours per week - Competitive rates between $50–$100/hour depending on expertise - Weekly payments via Stripe or Wise - Projects may extend or adjust depending on scope and performance - No access to confidential or proprietary information from employers or institutions Company Description This opportunity is available through a leading AI-driven work platform.