We are seeking a highly motivated and experienced Senior Healthcare Research & Data Analyst to join our Life Science & Healthcare division in Barcelona.
This role involves working with complex real‑world healthcare datasets and supporting analytical projects in partnership with leading MedTech organizations. You will have the opportunity to collaborate directly with major global MedTech companies and contribute to high‑impact work across real‑world data (RWD) and real‑world evidence (RWE) initiatives.
About You – Experience, Education, Skills, and Achievements
- Bachelor’s or master’s degree in Statistics, Biostatistics, Data Science, Epidemiology, Public Health, Life Sciences, or a related field
- 5+ years of experience in Healthcare or Life Sciences analytics, including commercial, patient, payer, KPI, or provider analytics
- Hands‑on experience working with Real‑World Evidence (RWE) and real‑world healthcare data such as claims, EHR, or secondary datasets
- Strong expertise in handling large, complex datasets in a healthcare context
- Advanced skills in SQL and Python (pandas, NumPy, analytical/statistical libraries); strong proficiency in Excel
- Solid foundation in statistical modeling and advanced analytics, including forecasting, clustering, and market mix modeling
- Proven ability to drive analytical outcomes through strategic data integration and leadership across large‑scale data processing
It Would Be Great If You Also Had
- Understanding of the US payer and Market Access landscape
- Exposure to medical device data and transactional‑level datasets
- Experience working with patient‑level data (APLD)
- Familiarity with IMS / IQVIA or similar healthcare data vendors
- Knowledge of R and data visualization tools such as Tableau
What Will You Be Doing in This Role?
- Analyse and interpret real‑world healthcare data to support RWE studies and evidence generation
- Apply statistical and advanced analytics to identify trends and actionable insights
- Build and optimize SQL queries to extract, clean, and validate large datasets
- Use Python (and/or R) for data analysis, automation, and modeling
- Partner with product, research, and operations teams to address customer business challenges
- Manage and curate analytical datasets for market and commercial modeling
- Ensure high standards of data quality, documentation, and reproducibility
- Communicate insights clearly to technical and non‑technical stakeholders
- Contribute ideas that help shape product, data, and analytics strategy
About the Team
This role reports to the Manager, Healthcare Research & Data Analytics, based in India, and is part of a collaborative, global analytics team.
Hours of Work
This is a permanent full-time position at 40 hours a week (35 hours during July and August). The position is hybrid, with 2–3 days per week in our Barcelona office (next to Sagrada Familia).
What We Offer
- Volunteering community offering paid hours of volunteering time.
- Private Health, Life, and Disability insurance
- Tax‑free benefits, including Ticket Restaurant, kindergarten, and transport cards
- Language classes (Catalan, Spanish, and English)
- Diverse, global workforce representing 20+ nationalities
- 30 working days of annual leave
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.