Job Description

Position: Lead Data Scientist - AI, Click Chemistry, and Digital Twin Systems

Location:

Dubai (preferred) / Hybrid / Remote for exceptional candidates

Compensation:

Competitive salary + substantial equity stake + performance-based bonuses

Start Date:

ASAP - we're moving fast.

About Us

Prepaire Labs is the operating system of biology, a first-of-its-kind, open-architecture biological execution engine integrating AI-driven drug discovery, precision diagnostics, and real-time Digital Twins across a global federated network. Our ecosystem includes Clicktromics(TM) (AI + click chemistry for targeted therapeutics), GenetiQ (Digital Twin precision health), and a developer-friendly SDK that powers a plug-and-play marketplace for clinics, researchers, and biotech innovators.

We're blending graph neural networks, diffusion models, federated learning, and iPSC/organoid feedback loopsinto a single seamless system that can design, simulate, and validate biology at scale. You'll be working on projects with direct impact, from antibody-drug conjugates for cancer to personalized regenerative therapies.

The Mission

We're looking for a hands-on, visionary Lead Data Scientist who can code like an engineer, think like a systems architect, and inspire like a CTO. This role isn't about sitting in meetings, it's about rolling up your sleeves and building the AI backbones that power the next generation of human health.

You'll lead multi-disciplinary teams across:

Click Chemistry + Clicktromics(TM): Predictive modeling and optimization of bioorthogonal reactions, payload-linker-drug assembly, and ADC design. Digital Twin: Multi-omics ingestion pipelines, real-time model training, patient simulation, and therapy prediction engines. Federated AI Systems: Model pruning, secure training, and orchestration across global nodes.

What You'll Do

Architect & Build Develop GNN, transformer, and hybrid AI pipelines for molecular design and patient-specific modeling. Integrate click chemistry modeling tools into the Prepaire SDK for in silico-to-in vitro feedback loops. Lead & Inspire Manage data science, bioinformatics, and ML engineering teams across continents. Collaborate with chemists, biologists, and hardware engineers to translate science into scalable code. Innovate & Deliver Turn scientific breakthroughs (e.g., new linkers or ADC payloads) into deployable, AI-driven design modules. Build predictive models that guide therapeutic selection inside the GenetiQ Digital Twin.

You Bring

PhD or Master's in Computer Science, Bioinformatics, Computational Chemistry, or related field. Deep experience in machine learning for biology (drug design, multi-omics modeling, protein-ligand interactions, or similar). Fluency in Python, PyTorch/TensorFlow, and distributed computing frameworks. Hands-on experience with chemical informatics (RDKit, DeepChem) and structural biology toolkits. Proven leadership of cross-functional teams in high-stakes, time-critical projects. Bonus: Experience with federated learning, quantum chemistry models, or iPSC/organoid modeling.

What We Offer

Strong salary: competitive with top-tier biotech + tech hybrid roles. Equity: you'll own part of the company you help build. Work on bleeding-edge science with Nobel-caliber collaborators. Access to world-class labs and compute infrastructure (MIT, Harvard, Masdar, and beyond). The freedom to move fast and ship real innovations: no academic red tape.
Apply now: send your CV, GitHub, and a short note on the most ambitious technical project you've ever led to: jobs@prepaire.com

Job Type: Full-time

Pay: AED30,000.00 - AED40,000.00 per month