-Force North Wales Police Role Type Police Staff Business Area Crime Services Department Forensic Collision Investigation Network Location Out Of Force Grade SO2 Salary £38,754 - £40,893 Agile Working Hybrid - this role can be performed from home more often than not. Part/Full Time Full Time Hours per Week 37 Type of Contract Permanent Level of Welsh language ability required? 0 Closing Date 07/08/2025, 12:00 Job Advert Description FCIN - SCIENCE RESEARCH ASSISTANT The Forensic Collision Investigation Network (FCIN) aims to attract, develop and retain talented people with the right skills and capabilities to meet the current and future challenges we face. We are a national team of specialists working to deliver a fair, consistent and enduring network led approach to scientific services for Forensic Collision Investigation. Our people are vital to the delivery of fairness, impartiality, and confidence in collision investigation. Working in partnership with forces across England and Wales, the FCIN will improve the quality and timeliness of collision investigations and the criminal justice outcomes for all those involved. The network ensures that Forensic Collision Investigators can rely on and underpin their investigations and evaluations with impartiality, scientific integrity, and confidence, whilst also meeting the new statutory requirements for the provision of evidence in critical cases. The FCIN is a formal collaboration hosted by North Wales Police, which aims to work with all police forces in England and Wales to improve quality standards, as well as bringing down the overall cost of science development and accreditation. This role is: - Largely home based with frequent travel across England and Wales and to the FCIN National Testing Centre at Cranfield University, within the working week. - A permanent contract with North Wales Police. As the Host Force for the FCIN, North Wales Police is looking for an exceptional practitioner to join the FCIN as a Science Research Assistant who: - Holds (or is close to completing) a forensic or relevant science-based qualification. - Has good written and oral communication skills. - Has good IT skills and experience of statistical analysis. - Has experience of digital video analysis. - Understands uncertainty of measurement. - Ideally has knowledge of photogrammetry and image correction, experience in speed estimation from video and the use of Amped FIVE. Competency and Value Framework (CVF) level? 2