Manufacturing TechOps Scientist – Microfluidics & Data

Oxford Nanopore Technologies; Oxford; On-site; GBP 40,000 - 65,000; Full time

Benefits offered by this job

attractive bonus

generous pension contributions

private healthcare

an excellent starting salary

Job summary

Oxford Nanopore Technologies is seeking an Engineer/Scientist to join the Technical Operations Team in Oxford, supporting and driving improvements in end-to-end manufacture of fluidic chips and electrochemical arrays.

You will work with Production and external suppliers, applying structured problem solving and data analysis (Python where possible) to validate process changes in a regulated manufacturing environment.

Qualifications

• Degree in a scientific discipline (e.g., materials science, physics, or related field) with strong data skills.
• Experience solving problems in a manufacturing or regulated environment.
• Familiarity with data analysis and interpretation.

Responsibilities

• Support end-to-end manufacture of fluidic chips and electrochemical arrays.
• Collaborate with Production and external suppliers to improve processes.
• Perform data analysis and interpretation (ideally using Python).
• Establish, monitor, and analyze in-process testing.
• Characterise materials and processes; design of experiments.
• Qualify material, process or design changes.
• Identify continuous improvement opportunities and implement actions.
• Investigate non-conformances and implement corrective actions.
• Coordinate with third parties to set up robust out-of-house processes.
• Work with external suppliers on specification setting and qualification.
• Report findings concisely and document changes.

Skills

Data analysis

Structured problem solving

Cross-functional collaboration

Python (data analysis)

Job description

Oxford Nanopore Technologies is seeking an Engineer/Scientist to join the Technical Operations Team in Oxford, supporting and driving improvements in end-to-end manufacture of fluidic chips and electrochemical arrays.

You will work with Production and external suppliers, applying structured problem solving and data analysis (Python where possible) to validate process changes in a regulated manufacturing environment.