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Internship - Software and Data Engineering

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Transition Bio, Inc.

Apr 24

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Science
  • Cambridge

Requirements

  • A bachelor’s degree in computer science or related fields. Students entering their final year of undergraduate studies would also be considered.
  • Experience of Rust and Python programming languages.
  • Knowledge of software development best practices for writing robust applications in collaboration with other software engineers.
  • Experience using a Linux operating system would be advantageous.
  • Experience using AWS.
  • Knowledge of docker images and k8s for container orchestration.
  • Ability to organise, analyse, and deliver information in a concise, accurate, and professional manner; strong written and oral communication skills; excellent data management skills.
  • An interest in cutting-edge science and a high degree of integrity and team orientation; a can-do motivating attitude.

Responsibilities

  • Develop key components of the company's in-house data pipeline tool.
  • Ensure consistency and robustness by designing and running test scenarios.
  • Continuously review requirements and scope by interacting with biologists and assay scientists.
  • Manage the tool’s deployment cycle and suggest improvements.

Transition Bio, Inc.

One-of-a-kind technologies for biomolecular condensate analysis.

Science & Healthcare
Industry
11-50
Employees

Mission & Purpose

Transition Bio is developing one-of-a-kind technologies for biomolecular condensate analysis. Through our Condensomics platform, our goal is to build a drug discovery engine based on the latest advancements in biophysics and artificial intelligence. We harness droplet microfluidic approaches and cellular platforms to characterize condensates with unprecedented scale and precision, resulting in the mapping of condensates and their modulation, in molecular detail. Our proprietary datasets feed in to algorithms that we use for target discovery, target validation and drug design.