You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

• We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires.

• Your ideas influence the way we work, and your voice matters here.

• As an essential part of our team, you help us deliver the medical innovation that patients are desperate for.

Join us and build your future here.

What you'll be doing:

• ​​Supports the classification and benchmarking of new jobs within the existing job architecture, including gathering relevant job information, reviewing available market data and preparing analyses for review by the Compensation team.

• ​Supports compensation survey activities by preparing, validating and submitting company data for external compensation surveys and maintaining related documentation.

• ​Supports compensation data analysis and reporting, including routine data checks, validation and preparation of recurring and ad hoc reports.

• ​Supports HRIS and compensation data audits, including reviewing job, salary and other compensation-related information and identifying discrepancies for follow-up.

• ​Supports the administration of compensation-related requests and tickets, ensuring accurate and timely follow-up and escalating issues when additional guidance is required.

• ​Participates in regular Compensation, HRIS, Talent Acquisition and People Partner meetings and calls, providing administrative and analytical support as needed.

What we are searching for:

• ​​Bachelor’s degree or international equivalent in Business, Finance, Human Resources, Economics, Data Analytics or a related field. 

• ​1–2 years of relevant experience in HR, Compensation, Finance, Data Analysis, Payroll, HR Operations or a similar role preferred. 

• ​Strong analytical and numerical skills with attention to detail. 

• ​Good MS Excel skills, including lookups, PivotTables and working with large datasets. 

• ​Ability to prepare reports, perform data checks and identify data issues or trends. 

• ​Good verbal and written English communication skills.