Bioanalytics & Data Integration Project Leader

Eurofins; West Point (PA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Life insurance

401(k) with match

Paid vacation and holidays

Bonus eligibility

Job summary

Eurofins USA PSS Insourcing Solutions is seeking an experienced Data Science Project Manager to lead complex data science and data integration initiatives supporting critical bioanalytical workflows within a regulated pharmaceutical research environment.

The successful candidate will drive the development and implementation of data solutions that enhance operational effectiveness, support strategic decision-making, and enable compliant integration of scientific data across laboratory and

Qualifications

• Bachelor's degree in a related field and 5+ years leading data-focused projects.
• Proven experience with SQL and Python in regulated pharma settings.
• Strong communication and stakeholder management skills.

Responsibilities

• Lead complex data science and data integration initiatives from concept through implementation.
• Develop frameworks, roadmaps, timelines, and governance for program execution.
• Collaborate with laboratory operations, informatics, data science and business stakeholders.
• Ensure data quality, regulatory compliance, traceability, and change management.

Skills

SQL proficiency

Python

Regulated environments

Stakeholder management

Cross-functional leadership

Education

Bachelor's degree in Data Science / CS / Info Systems

Tools

LIMS integration

Power BI / Tableau

Job description

Eurofins USA PSS Insourcing Solutions is seeking an experienced Data Science Project Manager to lead complex data science and data integration initiatives supporting critical bioanalytical workflows within a regulated pharmaceutical research environment.

The successful candidate will drive the development and implementation of data solutions that enhance operational effectiveness, support strategic decision-making, and enable compliant integration of scientific data across laboratory and