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

Lifelancer
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Director, Data Science

Senior Director, Data Science

Senior Data Scientist

Senior Data Scientist, Recommendations

Senior Data Scientist - Mobile

Sr Data Science Consultant

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

Job Location:London, UK

Job Location Type:Remote

Job Contract Type:Full-time

Job Seniority Level:Mid-Senior level

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 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.



Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

For more details and to find similar roles, please check out the below Lifelancer link.

https://lifelancer.com/jobs/view/da90d9fbd9ae7c694d9178005fa4f1eb

Apply on Lifelancer Platform

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.