Data Engineer Intern - Summer 2025

This is a 10 week Summer internship for 2025. Expected start date is late June 2nd through August 8th, 2025. This role is 40 hrs / week and will be at least 3 days onsite. Only candidates that are actively enrolled in an academic program will be considered.

Who We Are:

MilliporeSigma is a leading force in the life sciences sector, recognized for our commitment to solving the industry's most complex challenges. We achieve this by fostering collaboration with the global scientific community, enabling us to drive innovation and increase access to health solutions for people around the world. Our comprehensive portfolio includes a wide range of high-quality laboratory materials, advanced technologies, and specialized services designed to meet the diverse needs of scientists and engineers.

At MilliporeSigma, we understand that research and biotechnology production can be demanding and time-sensitive. Therefore, we are dedicated to making these processes simpler, faster, and more successful. Our team of experts works closely with customers, providing tailored support and guidance throughout the entire drug development process—from initial research and development to clinical trials and commercialization.

About Us

We are a team passionate about leveraging technology to streamline and innovate laboratory data management. This summer, we are seeking a motivated intern to contribute to our UDX project, a Python-based solution for processing and analyzing assay data from laboratory information systems (LIMS).

What You’ll Do

As a Summer Intern, you will work with our team to enhance and maintain the UDX project. This project interfaces with LIMS databases, processes configuration files, and generates outputs for trending data. Your responsibilities will include:

• Code Analysis & Optimization: Understand and improve the current script for efficiency and scalability.
• Feature Implementation: Add new features to support additional assay types or data configurations.
• Database Interaction: Write and debug SQL queries integrated into the Python script to fetch and process assay data.
• Data Transformation: Work on transforming raw database outputs into meaningful, organized outputs (such as JSON) for further analysis.
• Error Handling: Enhance exception handling and logging mechanisms for more robust performance.
• Collaboration: Work with team members and multiple different cross-functional teams to ensure code quality and alignment with project goals.

What We’re Looking For

• Graduate student currently pursuing a degree in Computer Science, computer engineering, data science, data analytics or Related Field: Or equivalent experience. (**MUST BE ACTIVELY ENROLLED IN ACADEMIC PROGRAM**)
• Proficient in Python: Familiarity with libraries like sqlalchemy, io, and simplejson is a plus.
• Database Skills: Understanding of SQL and experience interacting with relational databases.
• Problem Solving: Analytical skills to debug, enhance, and test code functionality.
• Knowledge of Git/Bitbucket: Comfortable working with version control systems.
• Data Transformation Experience: Familiarity with JSON or similar data formats is beneficial.
• Team Player: Excellent communication and collaboration skills.

Qualifications

• Proficiency in writing, debugging, and optimizing Python scripts.
• Experience with relational databases and SQL. Ability to write and debug queries to interact with large datasets.
• Understanding of database sessions and transaction handling.
• Familiarity with data transformation, especially using JSON. Experience working with structured data, including fetching, mapping, and organizing it.
• Version Control: Knowledge of Git and Bitbucket for managing codebase and collaboration.
• Exposure to LIMS (Laboratory Information Management Systems) or similar database systems.
• Familiarity with handling assay configurations or laboratory workflows.
• Experience with JSON file generation and validation

**students will be employed by Randstad and assigned to MilliporeSigma**