Medical Data Analyst

Brighton
9 months ago
Applications closed

Related Jobs

View all jobs

Operations Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Senior Data Architect

Role: Medical Data Analyst

Hours: Full time, working flexible hours, including matchdays and travel

Location: American Express Elite Football Performance Centre, Lancing, BN15 9FP

Contract Type: Permanent

Deadline Day: 4th July 2025

About Brighton & Hove Albion FC

We compete at the highest levels of football on a global stage while embracing our Sussex community spirit. At the heart of everything we do is our commitment to high performance, professional excellence, and making a positive impact.

Our medical data analyst team is growing

This new role will provide key insights that will enhance medical performance, reduce injury risk, improve health and prevention strategies and support strategic decision making. This role will also play a vital role in further implementing precision medicine into the club culture. You will develop suitable performance diagnostic test procedures with the respective departments and help implement these into the club setting.

About you

Are you driven, detailed oriented, committed to innovation and athlete wellbeing We are looking for someone who has a passion for advancing data acquisition, processing, analysis, interpretation and innovation within the medical department of a professional football club. You will have a high level of skill in the analysis and interpretation of statistical metrics, to be able to aid in the management of performance and injury prevention.

Our values are essential to our success

Our values serve as guiding principles for how we connect with one another, our fans, partners and sponsors. As a club, we embody these values in everything we do:

  • Treat People Well

  • Exceed Expectations

  • Aim High. Never Give Up

  • Act with Integrity

  • Make it Special

    How we say thank you

    In appreciation for your hard work and dedication, we are pleased to offer you a range of additional benefits, including but not limited to:

  • Complimentary breakfast and lunch at both sites

  • 23 days holiday rising with length of service (pro rata for part time staff)

  • Rewards platform, which includes access to 900+ retailers, a wellbeing centre and more!

  • Enhanced family policies

  • Access to a gym and padel court at our training ground

  • Priority access to match tickets and access to free WSL tickets for 2025/26 season

  • In-house training programme and CPD opportunities

  • Exclusive discounts and benefits from our partners and local businesses

    Our commitment to EDI

    We take pride in being an equal opportunity workplace that reflects the diversity of our society and the world around us. Our core values foster a strong ethical culture, enabling us to meet the needs of our diverse audience, both on and off the pitch. We welcome applications from individuals of all backgrounds, regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage or civil partnership. If you require any reasonable adjustments to support your application, please contact the team.

    Safeguarding is part of everything we do

    We are committed to safeguarding and promoting the welfare of children, young people and adults at risk. We expect all colleagues and volunteers to share this commitment.

    This position is UK-based and requires proof of the right to live and work in the UK. All job offers are conditional upon background checks, including a full 3-year reference history, DBS checks, and verification of your eligibility to work. Please note, we do not sponsor applicants without the right to work in the UK

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.