Lead technical engagement for strategic customers in the life sciences sector, serving as the trusted advisor who connects scientific objectives with scalable, cloud-based data and AI architectures. This role is central to shaping how research organizations leverage modern infrastructure to accelerate discovery and improve data outcomes.
Key Responsibilities
- Act as the primary technical liaison for high-impact accounts, guiding customers through solution design, proof of concept, and adoption phases
- Translate scientific and business requirements into robust technical architectures using cloud, data platforms, and AI technologies
- Lead technical planning sessions and deliver customized demonstrations tailored to diverse audiences, from scientists to IT leaders
- Collaborate with sales, engineering, and product teams to align customer needs with platform capabilities and roadmap direction
- Conduct technical health assessments, identify risks, and recommend optimizations to improve system performance and stability
- Support RFPs and technical proposals with detailed solution specifications and ROI analysis
- Drive co-innovation initiatives with technology partners such as Databricks and Google to expand solution capabilities
- Advocate for customer success by monitoring adoption metrics and executing plans that accelerate time to value
Qualifications and Experience
Candidates must demonstrate a strong background in scientific computing environments and possess the ability to lead technical strategy for complex customer deployments. Proven experience in mapping R&D workflows to data infrastructure, managing stakeholder expectations, and delivering measurable outcomes is essential. Familiarity with cloud platforms, data management systems, and AI-enabled research pipelines is required.
Culture and Values
This role operates within a culture rooted in trust, transparency, and technical rigor. The ideal candidate aligns with core principles centered on scientific advancement and responsible innovation. Daily actions should reflect a commitment to excellence, collaboration, and long-term customer impact.
