Solutions Engineer

Lindus Health
London
10 months ago
Applications closed

Related Jobs

View all jobs

Azure AI Solutions Engineer – LLM, MLOps, Python

Senior DataOps Engineer

Machine Learning Engineer - Financial Services

Senior Data Scientist – AI for Engineering & Simulation

Infrastructure and MLOps Engineer

KTP Associate – Computer Vision & Machine Learning Engineer

Our mission

All new medicines need to undergo clinical trials to show theyre safe and effective. But todays clinical trial infrastructure is stuck in the past and the cost of developing new medicines has skyrocketed as a result. Patients have to wait longer and pay more for new treatments.

Our mission is to fix this; we use software to help innovative companies run faster more reliable and patientfriendly clinical trials. Were still a young company but weve already had a big impact. Since founding the company in March 2021 weve helped run over 100 clinical trials involving tens of thousands of patients with a customer NPS of 100.

We recently raised a $55m Series B round from Balderton Capital with support from Creandum Firstminute Seedcamp and Visionaries.

About the role

As a Solutions Engineer youll be a part of the Deployment team that works with Citrus Lindus Healths platform powering the next generation of clinical trials. You will set up and maintain trials on the platform collaborating closely with clinical operations and our customers. You will also support the product team in improving the platform.

This role is ideal for a junior software engineer or data scientist who likes working directly with users and has an interest in health tech. Help us in our mission to bring more treatments to patients faster! There are different routes for growth in this role including progression into a Solution Architect role in which you would design and oversee multiple trials or moving into a product development focused role.

This is an onsite role in London with a flexible (hybrid) office arrangement. After an initial onboarding period fulltime at our headquarters (near London Bridge) we expect you to be in the office at least 23 days a week.

About you

Wed like to hear from you if...

  • A degree in engineering data science or an adjacent technical field or instead of a degree at least 1 year of experience working as a software engineer or data scientist

  • Driven to understand and solve problems good at multitasking and handling competing priorities and proactive at collaborating with multiple teams across functions.

  • Organised with the ability to drive initiatives to completion; nice to have: some project management experience

  • Some Python programming experience including some experience with the Django framework and relational databases.

  • Good attention to detail that lets you spot gaps and ambiguities in data and in trial designs

Nice to have

  • Experience working in a healthcare environment

You belong here! If your experience and interests match with some of the above we want you to apply.

What youll focus on

  • In your first month

    • Learn about clinical trials and the problems we are trying to solve through our onboarding training and chats with people across the company

    • Collaborate with the product team and clinical operations on a starter project configuring aspects of a trial on the platform

    • Support a data need in a live trial by reviewing data or building a custom report

    • Understand how we plan run and deliver projects at Lindus Health

  • In your first 3 months

    • Learn the details of ongoing trials and start supporting clinical operations in making the best use of the platform

    • Work on a clinical trial end to end owning study specific deliverables and collaborating with solutions architects clinical operations and customers to gather requirements and map those effectively to the platform

    • Become familiar with the the platforms backend stack (Django Python Postgres Amazon ECS) and the product teams ways of working by making small code improvements

    • Manage and run end to end User Acceptance Testing (UAT) for a clinical trial

  • Within your first year

    • Support the Deployment team by proactively managing project deliverables and get new trials started by turning documents outlining trial protocols into rigorously defined studies in the platform

    • Support clinical operations during live trials and at the end of a trial leveraging your expertise on the trial setup and the data collected

    • Suggest improvements to the platform based on your experience as an expert user and implement some of them yourself

What we offer (UK)

  • Competitive salary plus meaningful stock options

  • Flexible working: We have an incredible office near London Bridge and encourage people to work 3 days per week from the office

  • Unlimited holidays; everyone is encouraged to take off at least 28 days each year

  • 60 monthly wellness allowance which you can spend on our company health insurance scheme through AXA a wellhub membership or wellness activities and expenses of your choice!

  • Enhanced Parental Leave: 16 weeks full pay for primary caregiver and 6 weeks full pay for secondary caregiver

  • 1000 Learning and Development allowance each year to put towards courses certifications and development

  • Regular whole company and team events both in person and virtually.

  • Access to gym and retail discounts through our benefits platform Happl

  • A wellstocked pantry and drinks fridge Monday breakfast spread and catered team lunch on a Thursday for the UK office every week!

  • Cycletowork scheme and other salary sacrifice options available

  • Charity events and fundraising opportunities through our charity partnership with the Forward Trust

Our hiring process

We try to arrange for atleast one interview to be inperson so you can see our office and meet more of the team.


Key Skills
Organizational Management,Presentation Skills,Agile,SAFe,AWS,Solution Architecture,Conflict Management,Data Management,Scrum,Team Management,Pre-sales,Management Consulting
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.