AI engineer in oncology

We are seeking a Lead AI Engineer to drive the strategic development of AI/ML solutions across biological and digital pathology datasets. In this role, you will enhance the generative AI roadmap, oversee model architecture decisions, and lead a team in building state-of-the-art single-modality (VAE, DINOv2, diffusion models) and multimodal generative systems. You will collaborate cross-functionally with scientific, engineering, and product teams to translate research problems into scalable AI-driven solutions.

• Lead end-to-end development of generative AI systems integrating biological, imaging, and sequencing data.
• Design foundational model architectures and ensure scientific and computational rigor.
• Provide technical leadership, mentorship, and performance guidance to a team of ML engineers and researchers.
• Partner with domain scientists to define target outcomes, requirements, and data strategies.
• Drive innovation by evaluating new methodologies, proposing research directions, and leading PoCs.
• Oversee compliance with GCP/GCLP and ensure data quality, reproducibility, and audit readiness.
• Guide integration of LLM-based automation and/or multimodal diffusion architectures into production workflows.
• Represent the team in cross-functional discussions.

• Master’s or PhD strongly preferred in ML, Bioinformatics, Computational Biology, Biomedical Engineering, or similar.
• 5+ years of experience in ML/CV.
• Proven track record of designing complex generative or multimodal AI systems.
• Good communication and cross-functional collaboration skills.
• Strong ability to translate scientific needs into AI/ML architectures and pipelines.
• Expert-level Python and PyTorch skills.
• Deep specialization in generative modeling (diffusion models, VAEs, multimodal architectures).
• Experience with large-scale biological data processing (RNAseq, xCR, digital pathology).
• Strong grasp of MLOps, experiment tracking, and scalable model deployment.
• Advanced statistical analysis and experimental design.
• Ability to evaluate tradeoffs and make strategic technical decisions.
• Будет плюсом: Experience leading teams, establishing processes, and driving ML strategy will be a plus; Experience integrating LLM-based automation and designing complex multimodal systems as a plus

• Full-time position with a permanent contract, flexible working hours, and hybrid work format.
• Relocation package to Yerevan for candidates and their immediate family members, including full support with documentation and bureaucracy (bank accounts, residence permit, school contacts, etc.).
• Competitive salary and comprehensive health insurance.
• Corporate benefits: English language courses, gym plan, and office snacks.
• Convenient office location in Yerevan within a 1-minute walk from the metro.
• Structured onboarding, mentorship, and a supportive professional environment.
• Opportunity to work in a multidisciplinary team of bioinformaticians, biologists, physicians, and software engineers developing cutting-edge precision oncology solutions.