Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote
Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote

Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver innovative solutions for complex data challenges in life sciences.
  • Company: Join a leader in cloud-based solutions transforming scientific data management.
  • Benefits: Enjoy remote work flexibility and collaborate with cutting-edge technology.
  • Why this job: Make an impact in the pharmaceutical sector while driving innovation and scientific breakthroughs.
  • Qualifications: 8+ years in life sciences R&D IT; scientific background preferred.
  • Other info: Ideal for those passionate about technology and science in a dynamic environment.

The predicted salary is between 48000 - 84000 £ per year.

Senior Solutions Architect

Location: Remote Europe
Employment Type: 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 R&D 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 R&D 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 R&D 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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Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote employer: Lifelancer

Our Client is an exceptional employer, offering a dynamic remote work environment across Europe that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive training opportunities and encourage professional development, ensuring our team members are at the forefront of scientific advancements. Join us to be part of a mission-driven organization that values your contributions and empowers you to make a meaningful impact in the life sciences sector.
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Contact Detail:

Lifelancer Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote

✨Tip Number 1

Familiarize yourself with the latest trends in cloud-based solutions and scientific data management. Understanding how these technologies are transforming the life sciences sector will help you engage more effectively with potential clients and demonstrate your expertise.

✨Tip Number 2

Network with professionals in the pharmaceutical and biotechnology sectors. Attend industry conferences, webinars, or local meetups to build relationships and gain insights into the specific challenges they face, which can inform your approach as a Solutions Architect.

✨Tip Number 3

Develop a strong understanding of ELN, LIMS, and other laboratory systems. Being able to discuss these tools fluently will position you as a knowledgeable partner to clients looking for tailored solutions.

✨Tip Number 4

Prepare to showcase your problem-solving skills through real-world examples. Be ready to discuss how you've successfully navigated complex data challenges in previous roles, as this will resonate well with the expectations of the hiring team.

We think you need these skills to ace Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote

Scientific Data Management
Laboratory Systems Expertise (ELN, LIMS, CDS)
Data Visualization Tools
Pharmaceutical R&D Processes
Cloud Platforms (AWS)
Data Architecture
Excellent Communication Skills
Relationship Building
Problem-Solving Skills
Negotiation Skills
Business Impact Analysis
ROI Calculation
Life Sciences Sector Knowledge
Project Coordination
Change Management

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of the Senior Solutions Architect position. Tailor your application to highlight your relevant experience in scientific data management and your ability to bridge the gap between business and technology.

Highlight Technical Expertise: Make sure to emphasize your technical proficiency, especially in laboratory systems like ELN and LIMS, as well as your familiarity with cloud platforms such as AWS. Provide specific examples of how you've successfully implemented solutions in past roles.

Showcase Soft Skills: Since this role requires excellent communication and collaboration skills, include examples that demonstrate your ability to simplify complex concepts for non-technical audiences and build strong relationships with diverse stakeholders.

Tailor Your Documents: Customize your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. Use keywords from the listing to ensure your application stands out and aligns with what the company is looking for.

How to prepare for a job interview at Lifelancer

✨Understand the Client's Needs

Before the interview, research the pharmaceutical and biotechnology sectors to understand their specific challenges. Be prepared to discuss how your experience aligns with the needs of laboratory teams and researchers, showcasing your ability to develop tailored solutions.

✨Showcase Your Technical Expertise

Highlight your background in scientific data management and familiarity with laboratory systems like ELN and LIMS. Be ready to discuss specific projects where you successfully integrated cloud platforms or data architecture, particularly AWS, into existing workflows.

✨Communicate Clearly

Practice simplifying complex technical concepts for non-technical audiences. During the interview, demonstrate your excellent communication skills by explaining how you would guide clients through the implementation process and support their adoption of the platform.

✨Demonstrate Business Acumen

Be prepared to discuss how you calculate ROI for proposed solutions and the business impact of your previous offerings. Show that you have a deep understanding of the life sciences sector's challenges and trends, and how your solutions can address them.

Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote
Lifelancer
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  • Sr. Solutions Architect (Cloud Data, ELN, LIMS) - Europe remote

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-02-14

  • L

    Lifelancer

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