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
Qualifications
Bachelor's Degree in Computer Science, Data Science, or a related field;
1-3+ years of experience in Data Engineering, preferred;
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
Medpace Overview
Medpace is a full-service clinical contract research organization (CRO) providing phase l-lV 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 the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries.
Why Medpace?
When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.
Purpose-Driven Work
Work alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellence
Collaborative Culture
Contribute to an interactive team environment that empowers decision making, creative thinking, and continuous learning through open communication and mutual trust.
Leadership throughout Medpace is both accessible and approachable
Continuous Growth & Development
Office based environment with on-site mentors
Defined career paths with clear advancement opportunities
Industry renowned onboarding and training programs designed to accelerate professional development
Ongoing training and continuous learning opportunities throughout your career
An environment that encourages employees to influence change, contribute ideas, and grow quickly
Other Employee Benefits
Competitive compensation programs that recognize and reward performance
Comprehensive health, wellness, retirement, and PTO benefits
Office based culture with occasional WFH that provides flexibility for eligible positions after training
Company-sponsored social events
Please note benefits may vary based on country.
What to Expect Next
A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.
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
Bachelor's Degree in Computer Science, Data Science, or a related field;
1-3+ years of experience in Data Engineering, preferred;
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
