United Kingdom · Research and Development · Entry Level (0-2 years)

Research IT Support Analyst

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

Experience bandEntry Level (0-2 years)
Direct reportsNo direct reports
Reports toSenior Research Systems Engineer
UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Research Systems Support · Lab IT Helpdesk Specialist · Research Infrastructure Assistant

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Research IT Support Analyst

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1What this role really is

This role is all about keeping our scientists' research tools running smoothly. You'll be the first point of contact when something breaks or someone needs help with a system, making sure they can get back to their experiments quickly. Think of it as being the IT frontline for groundbreaking scientific work.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

ServiceNow (or similar ITSM platform)Intermediate

Logging, tracking, and resolving support tickets; searching the knowledge base; communicating with users.

Microsoft Office 365 / Google WorkspaceIntermediate

Email communication, documentation (Word/Docs), basic data tracking (Excel/Sheets).

Linux Command Line (Bash)Basic

Navigating directories, checking system status, managing files, running basic scripts on HPC and lab servers.

Remote Desktop Tools (e.g., TeamViewer, RDP)Intermediate

Connecting to user workstations and servers to provide remote support and perform configurations.

Benchling / LabWare (or similar ELN/LIMS)Basic

Assisting users with login issues, basic navigation, and understanding where data is stored within these lab informatics platforms.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choice	Coming in	Where you are now	The step above
Troubleshooting Path	Follow documented procedures; escalate if the issue deviates or isn't covered. Always consult on non-standard fixes.	Choose appropriate troubleshooting path for routine issues; propose solutions for novel problems, seeking approval before implementation.	Define troubleshooting strategies for complex issues; make technical decisions on resolution approach; consult on high-risk changes.
Software Installation	Install approved software following documented guides; escalate requests for unapproved software.	Independently install and configure approved scientific software; propose new software for evaluation.	Approve and standardise scientific software installations; lead evaluation of new tools.
User Account Management	Create/modify user accounts based on approved requests; ensure compliance with access policies.	Manage user access across multiple platforms; identify and resolve access permission issues.	Define and audit user access policies; lead improvements in identity management for research systems.
System Configuration Changes	No independent changes. Execute changes only under direct supervision of a senior engineer.	Make routine configuration changes within established guidelines; document all changes thoroughly.	Design and implement complex configuration changes; approve changes made by junior team members.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Ticket Resolution Time (MTTR)

The average time it takes you to resolve a support ticket from initial report to closure.

Target · < 4 hours for P2/P3 tickets, < 1 hour for P1 (critical) tickets

A P2 ticket for a LIMS login issue is reported at 09:00 and resolved by 11:30, well within the 4-hour target.

First Contact Resolution Rate

The percentage of support requests you resolve on the very first interaction, without needing to escalate or follow up multiple times.

Target · > 70%

Out of 50 tickets in a month, you solve 38 of them without needing to hand them off or get more info later.

System Uptime Contribution

Your direct contribution to maintaining the availability of managed research systems through proactive checks and quick fixes.

Target · > 98% uptime for assigned systems

You spot a disk filling up on a shared analysis server and clear old logs, preventing an outage and keeping the system available for researchers.

Researcher Satisfaction

How happy our scientists are with the quality, speed, and helpfulness of your support.

Positive feedback in ticket surveys
direct 'thank yous' from researchers
informal comments to your manager about your helpfulness
scientists specifically asking for your help on future issues.

Documentation Quality

How well you document solutions, procedures, and system configurations, making it easier for others (and future you) to understand and resolve issues.

Clear, concise knowledge base articles you've written
detailed notes in closed tickets
other team members successfully using your documentation to resolve issues
positive feedback during documentation reviews.

Proactive Problem Identification

Your ability to spot potential issues before they become major problems, rather than just reacting to failures.

You identify a recurring error pattern in system logs and flag it for investigation
you notice a common user mistake and propose a new training tip
you suggest a minor system tweak that prevents future issues.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy

Direct Impact on Science

You'll get a real buzz from knowing that by fixing a network issue or getting software installed, you're directly enabling a scientist to run their experiment or analyse their data. You're part of the scientific discovery process, even if you're not in the lab yourself.

You resolve a tricky software conflict on a microscopy workstation, and the scientist emails you later to say they just captured a crucial image for their paper.

Continuous Learning & Skill Development

Every day brings a new challenge and a new system to understand. You'll be exposed to a huge variety of scientific instruments, software, and computing environments, constantly expanding your technical knowledge.

You spend an afternoon troubleshooting an issue with a gene sequencer's data output, learning about bioinformatics file formats in the process.

Solving Puzzles

Many support issues are like puzzles – you get a few clues, and you need to piece together the solution. If you enjoy the investigative work of troubleshooting and finding the 'aha!' moment, you'll love this.

A user reports 'the server is slow,' and you have to dig through logs, check network traffic, and monitor resource usage to pinpoint the actual bottleneck.

What frustrates people

Dealing with poorly documented legacy systems that only run on ancient operating systems.
Scientists who don't follow basic IT hygiene (e.g., saving data to local drives instead of network storage).
The constant tension between researchers wanting admin rights and the security team wanting everything locked down.
Being blamed for a system issue that's actually a network problem outside of your direct control.
Repetitive 'password reset' or 'my printer isn't working' requests (though you'll mostly handle more complex research IT issues).

What this role does not give you

Extensive strategic planning or architectural design (that comes later in your career).
Leading large teams or managing significant budgets.
Working on purely greenfield projects without any legacy system involvement.
A quiet, predictable work environment – expect some chaos and urgent requests.

6Who you work with

You're the person who keeps the wheels turning. If you fix a researcher's access to the HPC cluster, that means their critical simulation can run overnight. If you get a LIMS workstation back online, experiments can be logged. Your work directly prevents delays in research programmes, which can literally save months of work or millions in project costs down the line. It's about enabling productivity for our most valuable asset: our scientists.

Inside the business

Research Scientists (Biologists, Chemists, Data Scientists)
Research Systems Engineers (L2-L3)
Lab Managers
IT Helpdesk (for general IT issues)

Outside the business

Scientific Instrument Vendors (for troubleshooting)
Software Support Teams (for lab informatics platforms)

7What you need before you start

Not a wish list. The things you would be expected to already have.

A genuine interest in technology and how it supports scientific research.
A foundational understanding of IT support principles, perhaps from a previous helpdesk role or relevant coursework.
Basic experience with Windows and/or Linux operating systems.
The ability to communicate clearly and patiently with users who may not be tech-savvy.

8What to practise next

Where the job is going, and what to do about it starting this week.

Basic Scripting & Automation (Python/PowerShell)

Many routine tasks, like user provisioning, log clean-up, or system checks, can be automated. Knowing how to write simple scripts will save you (and the team) a huge amount of time and reduce human error. It's how you move beyond just 'fixing' to 'preventing'.

Variables and Data Types · Conditional Logic (if/else) · Loops (for/while) · Error Handling

This month: Complete an online 'Python for Beginners' or 'PowerShell Fundamentals' course.
Next quarter: Write a simple script to automate a task you do manually every week (e.g., checking a log file for specific errors).
Next 6 months: Contribute to an existing team script, perhaps by adding a new feature or improving error handling.
Next year: Develop a new, small automation script that solves a recurring problem for researchers.

Quick win: Use AI to help you write your first simple scripts. It's a great way to learn syntax and get started without feeling overwhelmed.

Cloud Fundamentals (AWS/Azure/GCP)

More and more research computing is moving to the cloud. Even if you're not deploying cloud infrastructure yet, understanding the basic concepts – like virtual machines, storage buckets, and networking in a cloud context – will be essential for supporting cloud-based research tools and data.

Cloud Compute (EC2/VMs) · Cloud Storage (S3/Blob Storage) · Cloud Networking Basics (VPCs/VNets) · Identity and Access Management (IAM)

This month: Read introductory articles or watch YouTube series on 'AWS Cloud Concepts' or 'Azure Fundamentals'.
Next quarter: Complete a free 'Cloud Practitioner' level course from AWS or Azure. You don't need the certification yet, just the knowledge.
Next 6 months: Look for opportunities to assist senior engineers with cloud-related tasks, even if it's just monitoring.
Next year: Set up a small, personal cloud account and deploy a basic virtual machine to get hands-on experience.

Quick win: Start following cloud technology news and blogs. Just understanding the terminology will put you ahead.

9Staying current once you are in

What people here do to keep up

Participate in online courses or workshops on Linux administration, networking basics, or scripting (e.g., Python).
Engage with internal training programmes on our specific lab informatics platforms (Benchling, LabWare).
Attend webinars or virtual conferences on research IT trends and new scientific technologies.
Shadow senior engineers to learn advanced troubleshooting techniques and system architecture.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: AI-Assisted Troubleshooting & Diagnostics

AI is already being built into ITSM platforms and monitoring tools. It's getting better at spotting patterns in logs, predicting failures, and even suggesting fixes before you even know there's a problem. Analysts who can effectively use these tools will be significantly more efficient.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Assisted Troubleshooting & Diagnostics

AI is already being built into ITSM platforms and monitoring tools. It's getting better at spotting patterns in logs, predicting failures, and even suggesting fixes before you even know there's a problem. Analysts who can effectively use these tools will be significantly more efficient.

Predictive Analytics for IT Operations
Natural Language Processing (NLP) for Knowledge Retrieval
Anomaly Detection in System Logs

What you’ll use

Skills this role draws on

Technical

Basic Operating System Administration (Linux/Windows)
Network Fundamentals
IT Service Management (ITSM) Principles
Scientific Data Handling Basics

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

1
IT Helpdesk / Desktop Support Specialist
1-2 years
Skills to master
- Troubleshooting common IT issues, customer service, ticket management, basic network diagnostics.
You're ready to move on when
- Consistently high user satisfaction scores in a previous helpdesk role.
- Demonstrated ability to resolve a wide range of technical problems independently.
- A clear interest in moving into a more specialised, scientific IT environment.
2
Junior Systems Administrator (General IT)
1-2 years
Skills to master
- Server administration (Windows/Linux), active directory management, basic scripting, monitoring tools.
You're ready to move on when
- Proven ability to manage and maintain server infrastructure.
- Experience with automation of routine tasks.
- A desire to apply systems administration skills to a research-specific context.
3
Recent STEM Graduate (with IT interest)
0-1 year
Skills to master
- Foundational IT knowledge, problem-solving, analytical thinking, rapid learning of new technologies.
You're ready to move on when
- A degree in Computer Science, IT, or a related scientific field with a strong technical component.
- Personal projects or coursework demonstrating interest in systems or networking.
- A clear enthusiasm for supporting scientific research through technology.

11Where this role leads

The long view:This role is a fantastic launchpad for a career in a truly exciting and impactful field. We're looking for someone who sees this not just as a job, but as an opportunity to learn, grow, and directly contribute to scientific breakthroughs. If you're eager to get stuck in and help our scientists change the world, we want you.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Research IT Support Analyst is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Provide technical support for computer application software and equipment for learning activitiesLevel 3

Applied to your work in Research IT Support Analyst

By completing this unit, learners will be able to provide effective technical support for computer application software and equipment used in learning activities, troubleshooting common issues and ensuring smooth operation.

How the thinking builds

Remember
Understand
Apply
Analyse
Evaluate
Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Research IT Support Analyst

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

Ticket Resolution Time (MTTR)The average time it takes you to resolve a support ticket from initial report to closure.A P2 ticket for a LIMS login issue is reported at 09:00 and resolved by 11:30, well within the 4-hour target.< 4 hours for P2/P3 tickets, < 1 hour for P1 (critical) tickets
First Contact Resolution RateThe percentage of support requests you resolve on the very first interaction, without needing to escalate or follow up multiple times.Out of 50 tickets in a month, you solve 38 of them without needing to hand them off or get more info later.> 70%
System Uptime ContributionYour direct contribution to maintaining the availability of managed research systems through proactive checks and quick fixes.You spot a disk filling up on a shared analysis server and clear old logs, preventing an outage and keeping the system available for researchers.> 98% uptime for assigned systems

These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Research IT Support Analyst to Research Systems Engineer (L2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Research Systems Engineer (L2)→ your design

Where this takes you

This role is a fantastic launchpad for a career in a truly exciting and impactful field. We're looking for someone who sees this not just as a job, but as an opportunity to learn, grow, and directly contribute to scientific breakthroughs. If you're eager to get stuck in and help our scientists change the world, we want you.

See Your Progress GrowIllustration

Research IT Support Analyst

Basic Operating System Administration (Linux/Windows)
Network Fundamentals
IT Service Management (ITSM) Principles
Scientific Data Handling Basics

This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Research IT Support Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Research Systems Engineer (L2)
2-3 years
From L1 to L2
- Advanced Linux administration (e.g., kernel tuning, file system management)
- Scripting for automation (Python/Bash)
- Basic cloud resource management (e.g., spinning up VMs, managing storage)
- Deeper understanding of specific lab informatics platforms (Benchling/LabWare)

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of IT support can feel repetitive, or you spend ages digging for answers. Imagine if you could cut down on that busy work and focus on the really interesting problems. AI tools aren't here to replace you, but to give you superpowers, making you faster and more effective.

For a Research IT Support Analyst, AI isn't some far-off concept; it's a practical tool you can use every single day. From quickly finding solutions to drafting clear communications, these tools can seriously boost your productivity and help you provide even better support to our scientists.

Intelligent Knowledge Base Search

Use AI-powered search (like in ServiceNow's Virtual Agent or a custom LLM integration) to instantly pull up relevant troubleshooting steps, system documentation, or past solutions from our extensive knowledge base, even with vague queries. No more endless scrolling through old articles.

Automated Ticket Summarisation & Drafts

Let AI summarise long email chains or complex ticket descriptions into concise points, saving you time. You can also use it to draft professional, clear responses to users or internal escalation notes, ensuring all the right details are included.

Log File Analysis Assistant

Feed system logs into an AI tool (like Splunk's AI features or a simple LLM prompt) to quickly identify unusual patterns, error codes, or potential issues that might be buried in thousands of lines of text. It's like having an extra pair of eyes that never gets tired.

Script & Command Generation

Need a quick command to check disk space on a Linux server or a simple PowerShell script for user management? Use AI tools like GitHub Copilot or ChatGPT to generate or debug these snippets, speeding up routine tasks and helping you learn new commands on the fly.

Common questions

How do you become a Research IT Support Analyst?

Common routes in include IT Helpdesk / Desktop Support Specialist (1-2 years), Junior Systems Administrator (General IT) (1-2 years) and Recent STEM Graduate (with IT interest) (0-1 year). Times vary with prior experience.

Where can a Research IT Support Analyst progress to?

This role can lead on to Research Systems Engineer (L2) (2-3 years), depending on the skills you build.

What level is a Research IT Support Analyst in the UK?

This role aligns to RQF Level 2 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Research IT Support Analyst?

Increasingly, AI-Assisted Troubleshooting & Diagnostics. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Research IT Support Analyst, works on the job you actually do, and keeps going at your pace rather than a timetable's.

Searching and planning stay free. You only pay when you start learning.
Your credits are yours. Regulated, and they don't vanish when a subscription ends.
Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 8 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Research IT Support Analyst: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.

Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 2

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Research and Development

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here – supporting complex, high-performance computing and specialised lab systems – are highly transferable. You could move into IT roles in other highly regulated industries (e.g., finance, aerospace), or specialise further in scientific computing for other biotech or pharma companies.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Research IT Support Analyst

What's rising in its place

AI-Assisted Troubleshooting & Diagnostics

Skills this role draws on

Technical

How you actually get there, here

IT Helpdesk / Desktop Support Specialist

Junior Systems Administrator (General IT)

Recent STEM Graduate (with IT interest)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

No two people are taught the same way. This is one-to-one, not one-to-many.

A conversation, not a course

No two people run this the same way

This isn't a certificate you file away. It's a passport to the life you're designing.

Everything else the record holds

The career path, and where it branches

Research Systems Engineer (L2)

Where AI is starting to help

Intelligent Knowledge Base Search

Automated Ticket Summarisation & Drafts

Log File Analysis Assistant

Script & Command Generation

Common questions

You’ve started things before

Less than one coaching session. Every month.

You have the map. Walking it is the part we do together.