At a Glance
- Tasks: Join our Data Engineering team to work with AI and IT in clinical trials.
- Company: Medpace, a global leader in clinical research.
- Benefits: Gain foundational training, work internationally, and accelerate your career.
- Other info: Exclusive recruitment event in London on 9th July 2026.
- Why this job: Transform your career while contributing to cutting-edge therapeutics.
- Qualifications: Bachelor's in Computer Science or Data Science; 1-3+ years in Data Engineering.
The predicted salary is between 30000 - 40000 £ per year.
Computer Science or Data Science graduates, considering a career in the clinical trial industry? Medpace is delighted to host a recruitment event tailored to individuals interested in joining the Data Engineering team at Medpace. This event will spotlight both our Data Engineer roles within our IT and AI departments. This is a rare and exciting opportunity for individuals seeking to join the clinical trials industry! Join the Medpace hiring team for an exclusive onsite event at our London Office to hear from members of the Data Engineering Team and discover how to transform your career at a global CRO.
LOCATION: Central London
DATE: Thursday 9th July 2026
APPLICATION CLOSE DATE: Monday 6th July 2026
This is an opportunity for graduates to enter the industry, to receive solid foundational training, work in an international environment, and accelerate their career in the research and development of cutting‑edge therapeutics. Attendance at this event will act as a first step in eventually obtaining a position with us.
What to Expect Next: A member of our recruitment team will review your qualifications and, if interested, you will be contacted for an RSVP.
Responsibilities
- Data Engineer (AI): Utilize skills in handling of more unconventional data such as unstructured content from web‑based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta‑data through the use of tools such as Semantic understanding and meaning (Python, use of REST API); Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI; Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; Create software applications that support the understanding and visualization of data flows from inception to derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; Communicate with team members regarding projects, development, tools, and procedures; and Provide end‑user support including setup, installation, and maintenance for application.
- Data Engineer (IT): Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T‑SQL); Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; Collect, analyze and document user requirements; Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; Communicate with team members regarding projects, development, tools, and procedures; and Provide end‑user support including setup, installation, and maintenance for applications.
Qualifications
- Bachelor's Degree in Computer Science, Data Science, or a related field;
- 1-3+ years of experience in Data Engineering;
- Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta‑data;
- Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;
- Solid ETL development, reporting knowledge based off intricate understanding of business process and measures;
- Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred;
- Knowledge of REST API;
- Good knowledge of SQL Server databases and Python programming language is required;
- Knowledge of C# is a bonus as is working with Azure data fabric;
- Excellent analytical, written and oral communication skills.
For AI team: Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta‑data.
Medpace Career Event: Data Engineering (AI & IT) – Medpace, London employer: Medpace, Inc.
Medpace is an exceptional employer, offering graduates a unique opportunity to kickstart their careers in the clinical trial industry within a vibrant and supportive work culture. Located in the heart of Central London, employees benefit from comprehensive training, exposure to cutting-edge technologies in AI and IT, and ample opportunities for professional growth in a global environment dedicated to advancing healthcare solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Medpace Career Event: Data Engineering (AI & IT) – Medpace, London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Medpace Career Event: Data Engineering (AI & IT) – Medpace, London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Medpace, Inc. will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Medpace, Inc.
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Medpace, Inc..
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Medpace, Inc. that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
