*ABOUT THE CLIENT* A pioneering biotech company dedicated to advancing longevity and regenerative medicine. By harnessing breakthroughs in cellular biology, AI\-driven analytics, and bioengineering, we develop cutting\-edge solutions to enhance health and extend lifespan. Our multidisciplinary team of scientists, data engineers, and researchers collaborates to drive innovation in ageing research, biomarker discovery, and precision health technologies. *PROJECT DETAILS* You’ll work on a platform that applies LLM\-based pipelines to scientific literature, transforming it into structured knowledge that drives scientific research and insights. *YOUR TEAM* We’re looking for a **Junior Engineer** to join our small, but powerful cross\-functional team of engineers and biologists. You’ll contribute to projects that deliver value in fast, iterative cycles, while learning how to adapt in a dynamic startup environment where priorities can shift quickly. *WHAT'S IN IT FOR YOU* * Interview process that respects people and their time * Professional and open IT community * Internal meet\-ups and resources for knowledge sharing * Time for recovery and relaxation * Bright online and offline events * Opportunity to become part of our internal volunteer community *RESPONSIBILITIES* Data Infrastructure \& Standards * Contribute to the development and maintenance of scalable data systems that support diverse biological datasets and downstream applications. * Help implement best practices and protocols for data storage, processing, and management. * Support the design of system architecture that ensures data integrity, usability, and scalability. * Assist in monitoring and optimizing infrastructure performance for evolving project needs. Data Architecture \& Pipelines * Support the design and maintenance of ETL pipelines for processing and harmonizing internal and external biological datasets. * Help integrate large\-scale datasets (e.g., OpenTargets, STRING DB, Human Protein Atlas) into standardized, accessible formats. * Contribute to building infrastructure that supports analytical workflows, knowledge graphs, or AI\-driven tools. Collaboration \& Learning * Work closely with data scientists, engineers, and bioinformaticians to align infrastructure with research and analytical objectives. * Learn and adopt best practices in data management, infrastructure design, and software development. * Participate in team discussions, sharing ideas and collaborating to improve workflows. *SKILLS* **Education** * BS in Computer Science, Bioinformatics, Data Engineering, or a related field. **Experience** * Internship or 1–2 years of hands\-on experience in data engineering, bioinformatics, or software development (biotech/pharma experience is a plus). * Exposure to ETL pipeline development or data integration projects. * Familiarity with agile development practices is a plus. **Technical Skills** * Programming experience with Python (preferred), SQL/no\-SQL; familiarity with R or other scripting languages is a plus. * Basic understanding of cloud platforms (e.g., Google Cloud Platform, AWS, or Azure). * Interest in working with biological data sources such as OpenTargets, STRING DB, and Human Protein Atlas. **Soft Skills** * Eagerness to learn and grow in a fast\-paced, collaborative environment. * Good organizational skills with attention to detail. * Strong communication and teamwork abilities. **Nice\-to\-Haves** * Experience or interest in knowledge graphs or advanced data structures. * Curiosity about bioinformatics and applying software engineering to biology and health research. Your personal recruiter ###### **Valentina Brysina**