Sr. Technical Solutions Architect (Cloud Data, Life Science, ELN/LIMS) - US Remote

Job Description

Job Description

Senior Solutions Architect · Remote Europe · Full-time

Our client is transforming how scientific organizations manage and leverage their data. By building AI-native, structured datasets and next-generation lab data management solutions, they are driving innovation in research, drug discovery, and automation.

As a recognized leader in this emerging market, they have established strategic collaborations with top cloud, data, and AI infrastructure providers. Their platform is becoming the industry standard for scientific data processing and analytics, helping enterprises unlock new opportunities for efficiency, discovery, and operational excellence.

Their leadership team emphasizes a culture of innovation, accountability, and continuous learning. Candidates will be asked to review the company’s guiding principles, designed to help assess alignment with their mission and work philosophy. Those who join will be expected to embody these principles in their daily work.

The Role:

• In this role, you will collaborate closely with scientific end-users to design, architect, and deliver impactful solutions for pharmaceutical and biotech customers. You will work to understand the needs of scientists and R&D IT teams, assess their data environments, assist in the design and implementation of tailored solutions, and ensure seamless integration with enterprise data systems.
• This is a technical pre-sales role, requiring interaction with internal and external stakeholders, including sales teams, technical teams, and customers. You will bridge the gap between data integration, storage, and architecture, while effectively translating complex technical concepts into business-driven solutions.

Responsibilities:

• Collaboration & Solution Design
• Work with lab scientists, lab managers, and R&D IT teams to understand their workflow challenges and translate their needs into scalable solutions using the company's platform.
• Partner with Product and Engineering teams to develop product plans and guide platform-based improvements.
• Support Customer Success teams by assisting in platform implementation, driving process change, and collecting feedback for continuous improvement.
• Advocate for customer perspectives while working with product management to prioritize feature development and enhancements.
• Business Acumen & Technical Expertise
• Solution Mapping: Align technical solutions with business requirements.
• ROI Calculation: Evaluate the return on investment for proposed solutions.
• Industry Knowledge: Maintain a deep understanding of biopharma and pharma-specific challenges and trends, ensuring solutions align with industry needs.
• Soft Skills & Communication
• Technical Storytelling: Simplify complex technical topics for non-technical stakeholders.
• Presentation Skills: Deliver compelling demonstrations and presentations to a range of audiences.
• Relationship Building: Cultivate strong partnerships with clients, sales teams, and technical teams.
• Problem-Solving & Negotiation: Address objections effectively and align on solutions that drive business value.
• Sales & Pre-Sales Support
• Develop deep expertise in the company’s platform and how it integrates with life sciences workflows.
• Design and lead product demonstrations for prospective customers.
• Respond to Requests for Information (RFIs), Requests for Proposals (RFPs), and draft Statements of Work (SOWs) as part of the sales process.
• Project Management & Implementation Oversight
• Timeline Management: Ensure projects stay on track and within scope.
• Stakeholder Coordination: Work closely with customers and internal teams to maintain smooth presales and implementation activities.

Requirements:

• 5+ years of experience in Life Sciences R&D IT or Informatics, with a background in scientific data management. Experience as a bench scientist or data scientist is highly valued.
• Deep expertise in lab information systems, including ELN, LIMS, MS, NGS software, CDS, LES, and analytics platforms.
• Strong knowledge of drug discovery, development, and manufacturing workflows—experience in large molecules or new modalities is a plus.
• Experience with enterprise sales and solution consulting in the pharmaceutical industry.
• Technically skilled with experience in cloud-based solutions (AWS preferred) and data architecture.
• Intellectually curious, with a passion for learning and adapting in a fast-changing environment.
• Ability to work through ambiguity and thrive in a dynamic, evolving landscape.

Benefits:

• Competitive salary and equity in a rapidly growing company.
• Supportive, team-oriented culture focused on innovation and continuous improvement.
• Generous PTO and flexible working arrangements (remote-first).
• Opportunity to work at the intersection of AI, data science, and life sciences, shaping the future of scientific research.

If you're passionate about enabling scientific discovery through data and AI-driven solutions, this is your chance to make a lasting impact in an industry-transforming company.