Solutions Architect in Drug Development

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

• 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

• Fully remote work environment with flexible scheduling options


• 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

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