Solution Consultant

What you will do: •    Demonstrations and technical deep-dives. Prepare and deliver product demonstrations, technical deep-dives covering UDMS and SCE and lead architecture conversations.•    POC scoping and solution architecture. Build a working understanding of each customer’s clinical data management, statistical programming, and regulatory submission process to design POCs with defined success criteria.•    Proposals and solutioning. Contribute to technical proposals, RFP responses, and solution design documents.•    Market presence. Present at webinars, trade shows, and conferences as a subject-matter expert.•    Domain authority. Stay current on CDISC standards, statistical computing practice, ICH/GCP, AI/ML in regulated environments, and the competitive landscape; and feed what you learn back to Product and Sales.

What we look for: 8+ years in clinical development, clinical data management, statistical programming, or enterprise systems supporting clinical trials, with meaningful customer-facing pre-sales or solution consulting experience in eClinical / clinical technology preferred. Hands-on SAS, R, or Python and direct experience producing SDTM/ADaM datasets or TLFs. Experience selling into enterprise pharma or CRO procurement, security review, and validation cycles. Strong working knowledge of the clinical trial data lifecycle, CDISC standards (SDTM, ADaM), EDC/CDMS platforms, data integration challenges, and regulatory submission requirements. Proven ability to translate complex technical concepts into clear business value for both technical and executive audiences. Presence that holds up in the room: you can stand alongside senior sellers and enterprise buyers and maintain rigor under pressure. Self-motivated, able to work autonomously across multiple opportunities, and comfortable in a fast-paced, collaborative environment. Excellent verbal and written English. About nPhase.ai: nPhase AI provides pharmaceutical sponsors and CROs with end-to-end clinical data management, covering the full lifecycle from data capture through regulatory submission. Its Unified Data Management System (UDMS) consolidates all study data sources into a single source of truth at the point of collection, enabling cross-study consistency, reusable data assets, and audit-ready data lineage from day one. nPhase AI also offers a Statistical Computing Environment (SCE) that automates the flow from raw study data to SDTM, ADaM, TLF, and P21 validation with explainable, auditable AI.