Junior Data Engineer

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.

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.

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.

• 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

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.

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.