Junior Data Engineer

hace 5 horas

Medellín, Colombia Brightgrove A tiempo completo

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
  • 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.

Your personal recruiter

**Valentina Brysina**

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