Co-founder & CTO - Moir-ai Project

**About Moir-Ai**

Moir-Ai is an emerging healthtech/deeptech startup at the intersection of artificial intelligence, data science, biology, and pharmaceutical development.

Our ambition: to revolutionize the translational phase of drug development by making it more reliable, faster, and more efficient through a AI-driven multi-objective optimization platform.

The transition from preclinical to clinical stages is the critical breaking point in drug development, with failure rates exceeding 50%. This “translational bottleneck” has major ethical and economic consequences for the pharmaceutical industry. Moir-Ai is a disruptive project that moves away from traditional approaches relying on animal experimentation and costly trial-and-error methods.

The project is led by Aurélie Olivier, who brings together a dual scientific (PhD) and business (Global Executive MBA) background, with over 15 years of expertise in translational medicine and biotech strategy, now serving as founding CEO. Moir-Ai is entering a pivotal phase: building its founding team. We are looking for a Co-founder & CTO with strong expertise in AI/Machine Learning/Deep Learning to partner with the CEO in shaping the technical, organizational, and operational vision of the company, and to co-develop a Proof-of-Concept in oncology as the first strategic milestone.

Joining Moir-Ai now means seizing the unique opportunity to play a defining role, leaving a strong technological footprint from the very beginning, and embarking on an ambitious AI-driven deeptech journey in healthcare. The project is set to join a leading incubation program to secure strategic, technical, and financial support, with the mission of building a platform with meaningful scientific, ethical, and societal impact.

**Description du poste**:
**Role of Co-founder & CTO - Key missions**

As Co-founder & CTO, you will be at the core of Moir-Ai’s AI-driven translational platform, steering the technical and operational vision and translating our ambition into tangible solutions.

**Your main responsibilities will include**:

- Defining and leading Moir-Ai’s AI/ML strategy (multi-objective models, explainable AI).
- Designing and developing the first oncology Proof-of-Concept pipelines (data collection, curation, integration, and multimodal modeling).
- Setting up the technical and operational environment: stack selection, cloud/server infrastructure management, security and compliance (GDPR, health data).
- Working closely with the CEO on the business roadmap, scientific and data partnerships, and intellectual property strategy.
- Representing Moir-Ai’s tech vision at incubator workshops, consortiums, and international conferences.
- Building and leading the technical team (recruitment and management of AI/data talent).
- Contributing to fundraising efforts and securing public funding (BPI, European programs, seed ).

**Conditions & outlook**:

- Status: Co-founder & corporate officer.
- Compensation: significant equity participation from inception, reflecting your commitment and entrepreneurial risk. No immediate salary; remuneration planned post-seed funding.
- Location: France or remote within the EU.
- Work environment: flexible, collaborative, and innovation-driven, designed to foster both entrepreneurial and personal growth.
- Timeline: the startup will be incorporated within a few months, after structuring the founding team and incubation.

**Profil recherché**:
**Ideal profile**
- You are eager to embark on a demanding yet inspiring human adventure.
- You have an entrepreneurial mindset, a sense of ownership, and enjoy working autonomously within a small and high-impact team on the company’s development.
- You thrive on challenges and can leverage your hands-on expertise to build novel predictive algorithms and tools that are critical to the project’s success.
- You are comfortable working in an uncertain environment with a problem-solving, results-oriented mindset.
- You share strong ethical values: commitment to explainable AI, reducing algorithmic bias, and limiting animal experimentation.

**Education & experience**
- Master’s degree/PhD in AI/ML, applied mathematics, bioinformatics, computational biology, or from a top-tier engineering school (Polytechnique, ENS Paris-Saclay, CentraleSupélec, Télécom Paris, SupBiotech, etc.).
- 3+ years of experience developing Machine Learning/Deep Learning models applied to health, bioinformatics, or multimodal data.
- Previous experience in a healthtech/biotech startup is a plus.
- Hands-on experience with multimodal biomedical data is a strong asset.

**Key technical skills**
- Proficiency in the core stack: Python, PyTorch, TensorFlow, JAX, Scikit-learn.
- Experience with ML pipeline management (MLFlow, FastAPI, Docker).
- Knowledge of cloud infrastructures (Azure, AWS, GCP) and optimization of computational resources.