Sr. Solutions Architect (Cloud Data, Life Science, ELN, LIMS) - Europe Remote

Seekup Strategies
London
2 months ago
Applications closed

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Senior Solutions Architect · Remote Europe · Full-time

Our Client is a leader in providing advanced cloud-based solutions that transform how scientific data is managed and utilized. Dedicated to improving and extending human life, Our Client combines a cutting-edge, collaborative cloud platform with deep expertise to drive innovation and accelerate scientific breakthroughs. By enabling seamless integration of data, Our Client empowers scientists and researchers to unlock new possibilities through AI-driven insights and next-generation laboratory solutions.

Role Overview

As a Solutions Architect, you will partner with clients in the pharmaceutical and biotechnology sectors to design and deliver innovative solutions that address complex data challenges. Your role will involve collaborating with RD teams, analyzing data environments, developing tailored strategies, and ensuring seamless integration with client systems.

This is a highly technical role that bridges the gap between business and technology, requiring you to translate complex scientific and IT requirements into impactful solutions. You will collaborate with internal teams, including sales, engineering, and product, while fostering strong relationships with external stakeholders.

Key Responsibilities

Client Engagement:

  • Work closely with laboratory teams, researchers, and IT professionals to understand workflows and challenges. Develop solutions that address their needs using Our Client’s platform.
  • Act as a trusted advisor, guiding clients through the implementation process and supporting their adoption of our tools.
  • Gather and synthesize feedback from clients to continuously enhance the platform and related solutions.

Solution Design:

  • Develop customized solutions that map technical capabilities to business objectives.
  • Provide strategic insights into how seamless data integration and AI tools can improve laboratory operations and outcomes.
  • Collaborate with internal product and engineering teams to ensure solutions align with client requirements and long-term vision.

Sales Enablement:

  • Support sales efforts by showcasing the value of Our Client’s platform through tailored presentations, product demonstrations, and consultations.
  • Develop responses to Requests for Information (RFIs), Requests for Proposals (RFPs), and Statements of Work (SOWs).
  • Identify opportunities to deepen client engagement and expand platform adoption.

Project Coordination:

  • Ensure project timelines and deliverables are met by effectively managing internal and external stakeholders.
  • Communicate technical solutions in an accessible manner, facilitating alignment among diverse teams.
  • Drive customer success by assisting with change management and ensuring smooth integration.

Skills and Expertise

Technical Proficiency:

  • Strong background in scientific data management, with a focus on life sciences research.
  • Expertise with laboratory systems, including but not limited to ELN, LIMS, CDS, and data visualization tools.
  • Knowledge of pharmaceutical RD processes, from discovery to manufacturing. Experience with large molecule or emerging modalities is a plus.
  • Familiarity with cloud platforms and data architecture, particularly AWS, is preferred.

Soft Skills:

  • Excellent communication skills, with the ability to simplify complex technical concepts for non-technical audiences.
  • Proven ability to build relationships and collaborate effectively with diverse stakeholders.
  • Strong problem-solving and negotiation skills, with a focus on delivering value for all parties.

Business Acumen:

  • Ability to calculate ROI for proposed solutions and demonstrate the business impact of Our Client’s offerings.
  • In-depth understanding of challenges and trends within the life sciences sector.

Requirements

  • A scientific background or at least 8 years of experience in life sciences RD IT or informatics. Experience as a bench scientist or data scientist is a significant advantage.
  • Demonstrated success in enterprise sales within the pharmaceutical industry.
  • A passion for innovation, intellectual curiosity, and a desire to thrive in a fast-paced, dynamic environment.

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