At a Glance
- Tasks: Transform unstructured data into structured formats and support AI projects.
- Company: Join Medpace, a leading clinical research organisation making a real impact.
- Benefits: Flexible work, competitive pay, career growth, and wellness initiatives.
- Other info: Recognised by Forbes for excellence and offers structured career paths.
- Why this job: Be part of a team that drives innovation in healthcare through data engineering.
- Qualifications: Degree in Computer Science or Data Science; experience with AI tools and data handling.
The predicted salary is between 45000 - 60000 £ per year.
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks and projects that are instrumental to the company’s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.
Responsibilities
- 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;
- 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;
- 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.
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.
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) employer: Medspace
Medpace is an exceptional employer that fosters a dynamic and supportive work culture, offering a flexible environment where Data Engineers can thrive. With structured career paths and numerous opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful projects that impact global health. Located in Cincinnati, Ohio, Medpace provides competitive compensation, generous PTO, and a commitment to employee wellness, making it an attractive choice for those seeking a rewarding career in the clinical research field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AI)
✨Tip Number 1
Network like a pro! Reach out to current employees at Medpace or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those involving ETL processes or AI tools. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills, and be ready to tackle technical questions or coding challenges during the interview process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Data Engineer (AI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AI tools, ETL processes, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Let us know what excites you about working with AI at StudySmarter.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it's SQL, Python, or your experience with Snowflake and Azure, we want to know what tools you’re comfortable with. Be specific about your projects and achievements!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Medspace
✨Know Your Data Tools
Make sure you brush up on your knowledge of Snowflake, Azure, SQL, and Python. Be ready to discuss how you've used these tools in past projects, especially when handling unstructured data or working with LLMs.
✨Showcase Your ETL Skills
Prepare to explain your experience with the Extract, Transform, Load (ETL) process. Think of specific examples where you've successfully managed data flows and how you ensured compliance with data privacy regulations.
✨Communicate Clearly
Since communication is key in this role, practice articulating your thoughts clearly. Be prepared to discuss how you've collaborated with team members on projects and how you handle feedback during the software development lifecycle.
✨Demonstrate Analytical Thinking
Be ready to showcase your analytical skills. You might be asked to solve a problem on the spot, so think through your approach to data analysis and how you derive insights from complex datasets.
