Senior Solutions Architect - Drug Development (R, SAS, AI)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solutions Architect in Drug Development in United Kingdom.

This is an exciting opportunity to lead the design and delivery of innovative data-driven solutions within the pharmaceutical and life sciences industry. In this role, you will work at the intersection of technology, clinical data, and regulatory compliance, helping global organizations optimize drug development and decision-making processes through advanced analytics, automation, and AI solutions. You will act as a trusted technical advisor, collaborating closely with business, delivery, and engineering teams to shape scalable and compliant architectures tailored to complex client needs. The position combines strategic consulting, technical leadership, and hands-on development, offering significant ownership across pre-sales, solution design, and project execution. This role is ideal for professionals passionate about leveraging R, SAS, and AI technologies to transform clinical data workflows in a fully remote and highly collaborative environment.

Accountabilities

• Serve as the primary technical advisor for pharmaceutical and life sciences clients, helping define business objectives and solution strategies
• Lead pre-sales activities including discovery sessions, technical scoping, proposal development, and solution presentations
• Design and oversee scalable solution architectures supporting clinical data workflows, analytics, and regulatory submission processes
• Guide engineering and delivery teams throughout project execution, ensuring technical quality, compliance, and successful outcomes
• Develop custom tools, automation frameworks, and applications primarily using R technologies to improve delivery speed and operational efficiency
• Support regulatory submission activities and ensure alignment with standards such as CDISC, SDTM, ADaM, ISS/ISE, and define.xml
• Collaborate with cross-functional teams to integrate AI-driven solutions and automation capabilities into client environments
• Represent the organization at industry conferences, events, and client meetings through presentations, workshops, and thought leadership activities
• Contribute to continuous improvement initiatives, technical best practices, and innovation within clinical data and analytics workflows
  
  

Requirements

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• Strong hands-on expertise in R, including Shiny, Tidyverse, reporting frameworks, and application development
• Solid experience with SAS technologies, including Base SAS, Macro programming, and SAS Graph tools
• Deep understanding of clinical data management, regulatory submission workflows, and industry standards such as CDISC, SDTM, ADaM, and ISS/ISE
• Proven experience designing technical solutions and leading architecture initiatives within pharmaceutical, biotech, or life sciences environments
• Background in both pre-sales consulting and technical delivery leadership
• Experience building internal tools, automation systems, or data-driven applications that improve operational quality and efficiency
• Good understanding of AI technologies and their integration into enterprise software and analytics ecosystems
• Excellent communication and presentation skills, with the ability to engage both technical and business stakeholders effectively
• Comfortable working in fully remote, distributed, and international team environments
• Strong problem-solving, collaboration, and stakeholder management capabilities
• Experience speaking at conferences, workshops, or industry events is considered a strong advantage
  
  

Benefits

• Fully remote work environment with flexible scheduling options

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Opportunity to lead high-impact projects within global pharmaceutical and life sciences organizations
• Senior-level advisory role with strong ownership across architecture, delivery, and client strategy
• Competitive compensation package with transparent terms and performance-based bonus opportunities
• Dedicated time and budget for professional development, certifications, conferences, and industry events
• Collaboration with highly experienced architects, data scientists, statisticians, and domain experts
• Modern equipment and productivity tools to support efficient remote work
• Remote-first culture built on trust, autonomy, accountability, and collaboration
• Opportunity to contribute to innovative solutions that accelerate drug development and improve patient outcomes worldwide
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.