Clinical Data Scientist

Arcturis Data Limited

Oxford

1 day ago

Create job alert

Arcturis is unlocking the potential of real world data from the UK to advance science and transform healthcare. Based in Oxford, our mission is to empower the discovery, development and launch of new therapies and improve patient care and outcomes through the pioneering use of deep, highly curated real-world data. Our unique real world data network, NHS partnerships and scientific expertise deliver innovative, data driven solutions and real world evidence to support critical decision making.

About Role

The Informatics team at Arcturis is seeking a Clinical Data Scientist to join our growing team.

We are looking for a Clinical Data Scientist who is a medical doctor with a background in clinical data. You will need to be familiar with EHR data and be able to assist in handling data as wellas designing and implementing informatics-based improvement projects as part of the data platform improvement and maintenance work. A medical degree is required for this work, as you will helpmap clinical concepts between hospitals and our common datamodel.

As a member of the Informatics team, you will work closely with Engineering, Machine Learning and Real-World Evidence (RWE) teams, as part of the data platform product group, and will support and collaborate with Data Strategy and Partnerships team on identifying appropriate data sources, design automated data quality tests, review and approve resulting outputs, and support the team in their interactions with our external data partners.

Key Responsibilities
You will be:

Working with the engineering and machine learning team on maintaining and improving the data platform which ingests and standardises data.
Participating in reviewing quality of incoming data, triaging and resolvingissues to ensure data meets RWE teams needs.
Participating in management and improvement of our common data model.
Participating in managing mapping for laboratory tests, medications etc.
between hospitals using recognised ontologies such as BNF.
Using clinical knowledge to participate in designing and maintaining an automated data quality review process.
Working with the RWE and Data Strategy and Partnerships teams in thecreation and delivery of data specifications for research projects.
Providing informatics expertise to the Data Strategy and Partnerships teamto support data partner interactions.

Key Requirements
Essential Requirements

Medical degree (MBChB, MBBS, MD) and additional degree related toclinical data (e.g. masters in data science, epidemiology, informatics).
Familiarity with data structures and sources within the NHS e.g. cancer data sets, OMOP, SACT, NHS data dictionary.
At least 1-2 years’ experience working clinically in the NHS.
Experience working on informatics/data science projects or inepidemiological research using Electronic Health Record (EHR) data.
Familiarity with medical ontologies including those commonly used in theNHS e.g. ICD-10, OPCS-4, SNOMED etc.
Experience in exploratory data analysis using SQL, python and/or R.

Desirable Requirements

Experience of data modelling/standardisation in SQL
Training in Cerner/Epic

What's in it for you....

Please visit our careers page.

*If you are not UK national or do not have the right to work in the UK, then you will need permission to work on the territory of the UK. If you are not sure what permissions are required then you should seek advice before applying for the role.*

#J-18808-Ljbffr

Related Jobs

View all jobs

Clinical Data Scientist – NHS EHR & Real-World Evidence

Senior Clinical Data Scientist, CDM Europe (Hybrid)

Sr Clinical Data Scientist CDM (Hybrid - Europe)

Senior Data Scientist

Clinical Trials Data Engineer & Curator

Clinical Engineering Apprentice: Data Scientist Track

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

Industry Insights

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

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.