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Internship - Engineering

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Transition Bio, Inc.

Apr 24

Applications are closed

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

Requirements

  • A bachelor’s degree in Engineering, Physics or related fields. Students entering their final year of undergraduate studies would also be considered.
  • Experience of mechanical design and a keen interest in product or instrumentation development.
  • Enthusiasm for hands-on interaction with physical hardware.
  • Problem-solving mindset with an interest in conducting experimental work.
  • Experience using 3D CAD tools, ideally Solidworks
  • Programming skills in Python, MATLAB, or C++ would be advantageous.
  • 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

  • Assist in developing tools for protein and cellular biochemistry using our high throughput discovery platform.
  • Concept development and the evolution of detailed design solutions using CAD tools.
  • Carry out system component prototyping, testing and validation.
  • Collaborate with engineers and scientists to develop software for controlling microfluidic and optical instruments.
  • Contribute to the development of tools, libraries, and scripts for instrument development and validation.
  • Apply technical knowledge to identify new technologies and components that can enhance system performance.

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.