Exciting Opportunity in Bioinformatics SoftwareDevelopment in an award-winning Cambridge Biotech Are youpassionate about bioinformatics and software development? We’relooking for a talented and self-driven individual to join a dynamicteam working on cutting-edge pipeline and platform development.This role offers a unique chance to contribute to groundbreakingscientific research, from early-stage target discovery to leadoptimization and candidate selection. What You’ll Do: Collaboratewith multidisciplinary teams, including biologists, chemists,geneticists, and data scientists, to develop and maintain criticalbioinformatic tools and pipelines. Provide analytical andstatistical expertise to enhance decision-making in experimentaldesign. Contribute to the design and implementation of a flexiblebioinformatic web-ecosystem, empowering scientists to maximize thevalue of their data. Engineer, optimize, and validate internalpipelines to ensure they are scalable, configurable, and meet highproduction quality standards. Lead projects independently andpresent updates to key decision-makers. What You Bring: A PhD (orequivalent experience) in bioinformatics, biology, genetics,computer science, or a related field. At least 2 years of industryexperience. Proficiency in collaborative coding and version controlusing Git. Experience delivering production-quality Python code andworking with NGS data. Familiarity with Python testing frameworks(e.g., pytest, unittest). Desirable Skills: Experience in UI/UX,and cloud environments (AWS, GCP, Azure). Experence in a drugdiscovery setting. Proficiency in additional programming languages(R, JavaScript, Go, Rust) with a preference for JavaScript.Experience with Pydantic, SQL Alchemy, Nextflow, and SQL databases(especially PostgreSQL). Knowledge of machine learning algorithmsand genetic association methodologies. Location: This is a hybridposition in Cambridge (UK). Join us in driving innovation at theintersection of biology and technology. Apply now to be a part of ateam that’s making a real, patient-led impact
