Co-op – Data Engineer (Biocompatibility) – Murrysville, PA – January to June 2027

Philips • Murrysville, PA

9d • Onsite

About The Position

Philips is offering a six-month co-op opportunity in Murrysville, Pennsylvania, from January to June 2027, for individuals pursuing an undergraduate or graduate degree. The co-op provides hands-on experience at a HealthTech company and exposure to the full lifecycle of a data system. The student will work directly on the design and implementation of a new data management platform for the Biocompatibility group.

This is an office role. Office-based teams work in person at least three days per week; onsite roles require full-time presence at company facilities. The position is overtime eligible. Applicants must have US work authorization; Philips will not consider candidates who require work-authorized visa sponsorship now or in the future.

Requirements

• Pursuing an undergraduate or graduate degree in Computer Science, Data Science, Software Engineering, or a related field.
• Understanding of relational database design principles and familiarity with database management systems.
• Proficiency in Python and basic exposure to SQL.
• Strong documentation skills and the ability to communicate ideas and recommendations clearly.
• Strong problem-solving skills and eagerness to learn.
• US work authorization; candidates requiring work-authorized visa sponsorship now or in the future will not be considered.
• Ability to successfully perform the position’s minimum physical, cognitive, and environmental job requirements, with or without accommodation.

Nice To Haves

• Familiarity with life sciences, such as biology, chemistry, or physics, and/or experience working with data generated in a laboratory setting.
• Some statistics coursework.

Responsibilities

• Assist with the design of a relational database.
• Assist in developing methods to extract and transform data from unstructured or semi-structured sources, including data-validation methods.
• Support ad-hoc departmental requests for data analysis and statistical analysis.
• Work effectively within global, cross-functional teams.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed