Data Scientist
Role details
Job location
Tech stack
Job description
Location: Slough - Relocation assistance is available for eligible candidates and their families, if needed.
This laboratory-based position sits within the Bioprocess Analytics and Automation team, part of the Protein and Process Analytics R&D function. The postholder will contribute to the development, optimisation, and support of liquid-handling automation to strengthen plate-based analytical assays, while also providing specialist analytical expertise and ensuring consistently high standards of laboratory execution.
Candidates should demonstrate strong technical capability, meticulous attention to detail, and a proactive approach to problem-solving. Experience with automation technologies and analytical instrumentation is highly desirable, together with a commitment to scientific rigour and effective collaboration.
What you will get:
- An agile career and dynamic working culture
- An inclusive and ethical workplace
- Compensation programs that recognize high performance
- A variety of benefits depending on role and location
- The full list of our global benefits can be found on
What you will do:
- Lead Contribute to the development, optimisation, and day-to-day operation of liquid-handling automation systems, with a strong focus on enhancing the robustness, throughput, and reproducibility of plate-based assays (including reductase, NADPH-dependent, LDH, and related formats).
- Apply broad analytical knowledge to ensure automated workflows align with project objectives, contributing to method optimisation, troubleshooting, and continuous improvement.
- Execute a diverse range of analytical assays-such as liquid chromatography, capillary electrophoresis, purification methods, and ELISAs-to support R&D initiatives and routine analytical testing.
- Present findings effectively to project teams and stakeholders through clear verbal communication (e.g., project meetings) and well-structured written documentation (e.g., experimental records, data summaries, development reports).
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Requirements
- Degree in Life Sciences or related field
- An understanding of both automation technologies and analytical instrumentation
- Hands-on experience in bioprocess development or analytical methods
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a fast-paced environment
- Excellent communication and organisational skills
- Curiosity and a willingness to learn with a growth mindset
Benefits & conditions
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