Medpace Career Event: Data Engineering (AI & IT) – Medpace, London

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 spolight 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 memebers 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 de velopment 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; and
• 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 Overview

Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 6,000 people across 40+ countries.

Why Medpace?

People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today.

The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future.

Medpace Perks

• Flexible work environment
• Competitive compensation and benefits package
• Competitive PTO packages
• Structured career paths with opportunities for professional growth
• Company-sponsored employee appreciation events
• Employee health and wellness initiatives

Awards

• Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024
• Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility

What to Expect Next

A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

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 de velopment 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
• 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; and
• 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;