Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereNo government sponsor record covers this employer in this country.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
Role: Senior Clinical Solutions Engineer, Data - Evinova
Location: Field Based UK (Remote)
Salary: Competitive + Excellent Benefits
Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of digital and AI to tackle longstanding life sciences challenges? Then Evinova, a new health tech business part of the AstraZeneca Group might be for you! Transform billions of patients’ lives through technology, data, and innovative ways of working. You’re disruptive, decisive, and transformative. Someone excited to use technology to improve patients’ health. We’re building a new Health-tech business – Evinova, a fully-owned subsidiary of AstraZeneca Group.
About the Role
As a Senior Clinical Solutions Engineer, Data, you’ll be the customer-facing clinical data expert on our SaaS Delivery team and a trusted advisor on data requirements, data standards, and technical solutions for connecting with Evinova’s SaaS solutions. You’ll work across clinical trial operational, study design, cost and rate, and feasibility data, leading customer conversations about data requirements and then building and guiding the work that gets customer data into our platform, from source data through validated loads. You’ll also be a subject matter expert across the product suite, supporting post-implementation technical questions and contributing to pre-sales discussions.
You’ll work directly with customers’ clinical operations, data, and IT teams, and with our Product and Engineering teams, to turn customer needs into working solutions. You’ll stay close to products in development and translate their requirements into delivery approaches. Our product space is new, so this role suits someone who thrives in a fast-paced environment, is energized by emerging technology, and is happy to roll up their sleeves to deliver digital health solutions at scale.
While this is a remote position, the role is customer-facing by design. You will be expected to travel on-site with customers as needed — particularly customer UAT and customer governance — building the relationships and trust that underpin successful delivery.
What You’ll Do
Lead customer data conversations
• Lead discovery with customers on data requirements, identifying the right datasets, data owners, and cross-functional stakeholders for each data type.
• Advise customers on data standards and on how their data maps to Evinova’s out-of-the-box offerings.
• Develop deep expertise in Evinova’s data landscape and in customer data architectures, providing technical oversight during implementation and configuration.
• Present clearly and confidently to technical and non-technical audiences, including senior customer stakeholders.
Technical implementation
• Guide customers through collecting source data specifications, preparing datasets, and mapping and transforming data to Evinova standards where needed.
• Support customer onboarding to ingest sponsor-specific data sources.
• Build and prepare data deliverables hands-on where needed, and load them into customer environments.
• Review customer-provided data for quality and completeness, and resolve issues before load.
• Validate loaded data in customer environments and reconcile it against source.
• Manage defects and issues through to resolution in partnership with Product and Engineering, and lead root-cause analysis and remediation.
• Navigate formal change control and environment promotion, coordinating approvals, dependencies, and timelines.
• Champion change initiatives using change-management best practices, aligning delivery with strategic goals, product releases, and cross-functional needs during complex transitions.
• Track and communicate implementation progress across customers and internal
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