Company/ Role Overview Arctoris is seeking a Senior Scientific Software Engineer to design and implement analytical pipelines and peripheral software architectures and tools that power data-driven drug discovery. This role is ideal for a data scientist and/or developer with strong foundations in scientific data engineering, bioassay data analysis, and full-stack software design, who thrives at the intersection of computational biology and software engineering. Main Responsibilties Architect, develop, and maintain analytical and visualization pipelines for diverse bioassay data and project requirements. Design and build pragmatic, scalable scientific tools and data processing frameworks to support Arctoris’ experimental platforms. Implement interactive GUIs and web applications for experimental data management, decision support, and visualisation. Develop robust, maintainable codebases and contribute to best practices in software design, CI/CD, testing, and documentation. Collaborate with data scientists, biologists and drug discovery experts to provide meaningful data products and insights. Optimise integration between lab automation systems, databases, and analytical pipelines. Contribute to data infrastructure evolution, including APIs, orchestration layers, and cloud architectures. Qualifications and Experience You have a track record of building performant software for data-rich scientific environments. This role bridges analytical insight with engineering rigor, designing data systems that accelerate hypothesis generation and validation in modern drug discovery. With this in mind, we are seeking someone who is motivated by impact, precision, and the application of software engineering to real-world biology. Essential Skills Advanced proficiency in Python for scientific and analytical computing, including: Pandas, NumPy, Scikit-learn, Jupyter, RDKit, Biopython Experience building data ingestion, curation, and transformation pipelines. Expertise in software engineering principles : modular design, testing (PyTest/Unittest), and version control (Git). Strong command of data modeling and database design (PostgreSQL, MySQL, MongoDB, or equivalent). Proven experience in web application frameworks (FastAPI, Django, or Flask) and modern front-end technologies (React or Vue). Familiarity with scientific workflows and bioassay data structures common in drug discovery. Desirable Skills Knowledge of data orchestration frameworks (Prefect, Airflow, Jenkins). Experience deploying systems on AWS, Azure, or GCP. Proficiency in containerization and CI/CD (Docker, GitHub Actions, Bitbucket Pipelines). Understanding of DevOps practices, cloud infrastructure automation (Terraform, Ansible), and scalable API architectures. Exposure to lab informatics, LIMS, or automation system integration. About us Arctoris is a technology-enabled drug discovery services company headquartered in Oxford. We combine automated wet lab experimentation, proprietary analytical pipelines, and deep scientific expertise to accelerate the design and optimisation of new therapeutics. Our proprietary Ulysses® automation platform and data infrastructure enable the generation of reproducible, high-quality datasets at scale, forming the foundation for AI-driven discovery capabilities across oncology, immunology, and neurodegeneration. We operate at the intersection of biology, robotics, and data science, building systems that transform how scientists generate and interpret experimental data. Joining Arctoris means contributing to a multidisciplinary environment where innovation in data architecture, analytical tooling, and computational pipelines directly advances the creation of life-changing medicines. https://www.arctoris.com/