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Rivia

Unifies clinical-trial data for AI workflows

Clinical Solutions Consultant

Pre-Sales Solution EngineeringUpdated on Nov 12
Full-timeZürich, SwitzerlandNo salary listedIn-person

About the Job

Requirements

  • A degree in life sciences, bioinformatics, biomedical engineering, or a related scientific discipline, with comfort navigating complex scientific discussions.
  • Proficiency in at least one programming language and data manipulation tools, such as Python, R, SQL, Java, or similar.
  • At least 4 years of client-facing experience in solutions consulting, technical pre-sales, field application science, technical account management, or similar roles.
  • Understanding of scientific data and experimental logic, with the ability to quickly grasp complex clinical trial workflows and technical requirements.
  • Hands-on experience building and configuring product demonstrations, sandboxes, or technical proof-of-concepts.
  • Understanding of how technical expertise contributes to winning deals and willingness to work closely with sales teams to advance opportunities.
  • Ability to communicate complex technical concepts clearly to scientists, clinical operations leaders, and technical stakeholders.
  • Ability to operate proactively and independently in a fast-moving environment where processes are still being built.
  • Ability to challenge assumptions, push back on unrealistic commitments, and collaborate across teams to deliver customer outcomes.

Responsibilities

  • Partner with Account Executives as the scientific and technical expert throughout the sales process, helping prospects understand how Rivia can address their specific challenges.
  • Lead in-depth product demonstrations tailored to customers' clinical trial workflows, data structures, and scientific requirements.
  • Build and configure customized sandboxes, demo environments, and prototype integrations to demonstrate Rivia's value using realistic customer scenarios.
  • Understand customers' clinical trial pipelines, protocols, endpoints, and data challenges, translating their needs into practical technical solutions.
  • Scope prospective customer implementations by identifying technical requirements, dependencies, risks, and feasibility before commercial commitments are made.
  • Collaborate with Solutions Engineers and Customer Engagement to ensure smooth handovers from pre-sales to implementation.
  • Act as a trusted technical advisor to customers and internal teams, addressing complex scientific questions and communicating product capabilities and limitations.
  • Adapt demonstrations and technical conversations to customers' familiarity with and readiness to adopt AI-driven solutions.
  • Identify recurring customer needs, technical objections, and product gaps, and share insights with Product and Engineering to improve the offering.
  • Develop scalable pre-sales processes, reusable demo environments, and technical documentation as Rivia grows.

Desired Qualifications

  • Previous experience in scientific software, clinical trial technology, biotech platforms, or laboratory informatics.
  • Familiarity with clinical trial protocols, endpoints, regulatory considerations, and clinical data integration.
  • Experience working with AI-driven products or communicating the value of AI to scientific and technical stakeholders.

About the Company

Rivia

Unifies clinical-trial data for AI workflows

Rivia builds a reusable intelligence layer for clinical-trial data to unify fragmented information and power AI-driven workflows. Its engine ingests heterogeneous vendor files in real time, applies trial-specific scientific logic through reusable configurations, and delivers harmonised data into review workflows for earlier deviation detection and audit trails. Embedded agents like Spark translate natural language into publication-grade visualisations and monitor data quality with agentic tools. The company aims to scale globally and deepen agentic workflows for biotechs and CROs, supported by its Series A and growing teams in Zurich and Boston.

Company size
11-50
Company stage
Series A
Total funding
$17.6M
Headquarters
Zurich, Switzerland
Founded
2022

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