Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London
The Opportunity:
We are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks — from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and deploy intelligent agents that democratise access to powerful computational biology tools, enabling researchers worldwide to leverage cutting-edge models via intuitive chat interfaces.
Who We Are:
We are building next-generation generative models that learn the fundamentals of biology. Our team pursues ambitious scientific goals with curiosity and a deep commitment to research excellence. Team members have previously contributed to foundational work in AI-driven biology, generative modeling, and large-scale data infrastructure. You will join a multidisciplinary group of experts in machine learning, life sciences, and software engineering.
Our culture values interdisciplinary exchange, continuous learning, and collaboration. Regular team offsites foster trust and creativity across our distributed locations. We’re looking for innovators passionate about tackling complex challenges and driving global scientific progress.
Who You Are:
* You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.
* You have extensive experience in LLM orchestration, including hands-on use of major LLM APIs and frameworks such as LangChain or LlamaIndex, or you’ve built custom agent frameworks from scratch.
* You understand intelligent information retrieval, with experience in RAG (Retrieval-Augmented Generation), vector databases, and embedding models for knowledge extraction.
* You can architect complex workflows using orchestration tools such as Airflow, Prefect, or Temporal, or by building bespoke pipeline systems for multi-step autonomous processes.
* You bridge science and engineering — comfortable with scientific computing libraries (NumPy, SciPy, pandas) and familiar with scientific databases and literature formats.
What Sets You Apart:
* You have a research background — perhaps as a former academic researcher or research software engineer in ML/AI.
* You’re passionate about scientific automation and have experience with document processing, OCR, and data extraction from academic sources.
* You understand the research ecosystem, including academic and pharmaceutical workflows.
* You have expertise in NLP, particularly for scientific text processing and citation networks.
Your Responsibilities:
* Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis to experimental design.
* Architect end-to-end agentic systems integrating platform capabilities with intelligent decision-making, enabling users to perform sophisticated tasks through simple chat interfaces.
* Develop knowledge discovery pipelines that autonomously mine scientific literature, identify disease pathways, and propose potential therapeutic targets.
* Create scalable scientific content by building agents that design experiments, generate hypotheses, and draft research-grade materials.
* Pioneer autonomous lab workflows through agents that design and validate complex biological systems.
* Collaborate with scientists to translate research pain points into automation solutions.
* Publish and present novel applications of agentic workflows in computational biology and related fields.
Apply:
We offer competitive compensation and benefits, including:
* Private health insurance
* Pension or retirement contributions
* Generous leave policies, including gender-neutral parental leave
* Hybrid work arrangements
* Opportunities for professional travel
We provide a stimulating environment and the chance to shape the future of biology through breakthrough applications of generative AI. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team.
Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London