1-Year Tenders & Data Intern — Hybrid, Lisbon

Roche; Amadora; Hybrid; EUR 8,400 - 11,000; Full time

Benefits offered by this job

Internship subsidy

Meal allowance

Health insurance

Life and personal accident insurance

Subsidised restaurant in the office

Roche gym access

Job summary

Roche Diagnostics is offering a 1-year, full-time internship in Lisbon focused on Tenders & Data Management. You will engage in data-driven decision making, optimize proposal workflows, ensure data quality, and generate insights through clear reports and dashboards.

The role emphasizes collaboration with cross-functional teams and adherence to deadlines. Ideal applicants are final-year students or graduates in related fields, fluent in Portuguese and English, with strong data literacy and

Qualifications

• Final-year student or recent graduate in Public Management/ Administration, Information Management, Health Sciences, Pharmaceutical Sciences, or a related field.
• Comfortable using digital platforms and turning raw data into structured reports and dashboards.
• High attention to detail in document control and meeting deadlines.

Responsibilities

• Streamline operations and identify opportunities to improve processes.
• Support end-to-end proposal management and enhance related tools.
• Maintain data quality across tender management systems.

Skills

Digital literacy

Data visualization

Time management

Communication

Proactive mindset

Education

Public Management/Administration

Information Management

Health Sciences

Pharmaceutical Sciences

Related field

Job description

Roche Diagnostics is offering a 1-year, full-time internship in Lisbon focused on Tenders & Data Management. You will engage in data-driven decision making, optimize proposal workflows, ensure data quality, and generate insights through clear reports and dashboards.

The role emphasizes collaboration with cross-functional teams and adherence to deadlines. Ideal applicants are final-year students or graduates in related fields, fluent in Portuguese and English, with strong data literacy and