Research Software Engineer

About The Role

As a Research Software Engineer, you will design and build software systems, AI-powered tools, and infrastructure that enable scientists to rescue failed drugs and bring them safely back to patients. This role spans multiple engineering disciplines, from orchestrating large-scale machine learning workloads to building agentic systems that accelerate in-licensing, to helping ML researchers deploy state-of-the-art bioinformatics and cheminformatics models.

What Makes This Role Unique

• Applied: The tools you build will directly enable research that has a tangible path to patient impact.
• Multi-disciplinary: You'll work closely with scientists, ML researchers, and engineers, gaining insight into the end-to-end drug discovery and development process.
• Dynamic: This is a fast-paced startup environment — every week will bring new challenges and opportunities to learn.
• Innovative: You'll work with state-of-the-art AI models and systems, deploying them in creative ways to solve complex, real-world R&D problems.

What You'll Do

• Design, build, and maintain research software systems and pipelines for bioinformatics, cheminformatics, and related domains.
• Orchestrate large-scale ML inference workloads across thousands of models.
• Integrate and operationalize large language models and AI services into research workflows.
• Collaborate with ML researchers to prototype and deploy experimental models into usable tools.
• Build autonomous and agentic systems to streamline literature review, data extraction, and target identification.
• Work with scientists to ensure tools are robust, reproducible, and easy to use.
• Continuously improve development, testing, and deployment processes for research tools.

Requirements

Who you are

• Mission-oriented: You want your engineering work to accelerate life-changing scientific research.
• Biased to action: You thrive in a fast-moving startup and take ownership of delivering results.
• Fast learner: You can quickly absorb new technologies, APIs, and scientific concepts.
• Collaborative: You work effectively with interdisciplinary teams, adapting your communication for technical and non-technical audiences.
• Curious & versatile: You enjoy working across domains — from AI integration to infrastructure — and connecting ideas between them.

What You'll Bring

• Strong Python development experience, writing production-quality, maintainable code.
• Experience integrating and orchestrating AI/LLM services via APIs and related tooling.
• Strong technical communication skills.
• Ability to rapidly prototype research tools and iterate quickly based on feedback.
• Comfort working independently in a fast-paced, high-ambiguity environment.
• Familiarity with at least one cloud platform, ideally GCP.

Benefits

• A competitive salary, performance-based bonus, pension, and significant equity in a high-growth startup.
• Opportunities for rapid career growth and progression.
• A collaborative, flexible, hybrid working environment with remote options and tools to support seamless communication.
• Vitality health insurance, including mental health, dental, and optical care.
• The chance to bring potentially life-saving drugs back to patients - helping improve the lives of millions.