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Chief Technology Officer

e184 Remote (Remote)
Full Time

About the Role

About us

At e184, we are looking for talented, passionate people ready to build technology for the goals that matter most. In labs around the world, we are working to enable reproductive rights for all with projects in in vitro gametogenesis and artificial wombs, and building brain-computer interfaces for fluid collaboration between humans and AI. 

Our technology can give everyone a say in what the future holds in store.

What you’ll do

At e184, we are building systems that fundamentally accelerate scientific discovery across multiple scientific domains including genomics, neuroscience, and developmental biology, and emerging interdisciplinary fields. As a CTO, you will wake up every day thinking about how to turn complex, fragmented scientific processes into intelligent, automated, and trustworthy workflows.

You will immerse yourself in how our science actually happens - from wet and dry lab operations to imaging pipelines and experimental data flows. By working directly with researchers, you’ll identify high-impact opportunities where AI, automation, and robotics can eliminate repetitive work in areas such as sample processing, imaging, cell culture screening, and experimental execution - freeing scientists to focus on discovery rather than operations.

From there, you’ll design and implement orchestrated, end-to-end workflows that connect laboratory devices, APIs, datasets, and AI models into coherent systems. Monitoring, traceability, and reliability won’t be afterthoughts - they’ll be built in from day one, ensuring every decision can be understood, trusted, and reproduced.A core part of your work will be blending large language models and other advanced architectures with live scientific data, enabling systems that reason with real context, adapt in real time, and support better decisions exactly when they’re needed. You’ll help establish a unified foundation for data standards, metadata schemas, experiment tracking, versioning, access control, audit trails, and security - so AI operates on solid ground.

You’ll stay hands-on, building conversational agents and intelligent bots that do more than answer questions. These systems will take actions, understand nuance, and actively assist scientific teams in their daily work. Some will live on the web, others will integrate into tools and environments we haven’t even adopted yet - and you’ll help define that roadmap.

Throughout all of this, you’ll collaborate closely with scientists, engineers, and operators across the company translating complex research needs into AI-powered systems that respect governance, build trust in data, and deliver measurable impact. Your work will directly enable teams at e184 to move faster, work smarter, and unlock breakthroughs that would otherwise take years to reach.

Core requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 3+ years of hands-on experience building and deploying AI/ML systems or infrastructure in research-critical environments.
  • Strong experience using LangChain/LangGraph for building LLM applications.
  • Deep knowledge of vector databases (FAISS, PGVector, Qdrant) and RAG architectures for scientific knowledge retrieval and question-answering systems.
  • Proficiency in Python, FastAPI, and key ML frameworks (Transformers, PyTorch, TensorFlow).
  • Proven ability in advanced prompt engineering techniques.
  • Hands-on approach and experience setting up integration of multiple solutions from scratch. You build systems yourself, end-to-end. You write the code, train the models, deploy the systems, and keep them running.

You´ll stand out with

  • Experience with supporting new processes, products, operations, labs, manufacturing sites, etc.
  • Prior experience supporting life sciences research teams or building research infrastructure.
  • Familiarity with omics and single-cell data, neural time series and neuroimaging.
  • Computer vision experience, especially for microscopy, medical imaging, or scientific image analysis.
  • Familiarity with n8n or similar workflow orchestration platforms.
  • Experience deploying and managing production-scale LLMs (AWS SageMaker, Azure ML, Hugging Face).
  • Practical fine-tuning skills (LoRA, full-model fine-tuning, hyperparameter optimization).
  • Experience with containerization (Docker) and orchestration systems (Kubernetes).
  • Solid understanding of MLOps and LLMOps tools and practices (MLFlow, Grafana, Prometheus).

Why e184?

  • Remote role with trips to the labs.
  • Competitive compensation.
  • Collaborative and supportive culture with mission-driven colleagues.
Disclaimer

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of e184.

Please let e184 know that you found this role at ctojobshq.com as a way to support us, so we can keep providing you with great CTO job opportunities.

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