The project
We are looking for a Senior Biostatistician to join a consultancy specialising in health research and innovation.
The successful candidate will be the scientific team’s statistical reference point, leading the methodological design and analysis of health outcomes, HEOR and real-world evidence studies.
Key responsibilities
- Lead statistical design for observational, epidemiological, comparative effectiveness, burden-of-disease and pharmacoeconomic studies.
- Develop, run and oversee analyses of real-world data, including clinical records, electronic health records and administrative databases.
- Prepare and review protocols, statistical analysis plans (SAPs) and final reports.
- Develop predictive models and statistical algorithms for health data.
- Act as the statistical point of reference for clients and in technical meetings.
- Contribute to scientific publications, conferences and technical proposals with multidisciplinary teams.
Required profile
- Degree in Statistics, Mathematics, Biostatistics, Health Sciences, Engineering or a related field.
- A master’s degree in Statistics, Biostatistics, Data Science, Epidemiology or a related discipline is essential.
- At least five years’ experience analysing data in health research, a CRO, the pharmaceutical industry or consultancy.
- Experience with observational and epidemiological studies and real-world evidence, HEOR or pharmacoeconomics.
- Advanced R and/or Python skills for data processing and statistical analysis are essential.
- Strong knowledge of statistical methods and the ability to explain complex concepts to non-specialist audiences.
- English skills for reading, writing and communicating in scientific and professional settings.
- Autonomy, commitment, attention to detail and the ability to manage multiple projects and deadlines.
Highly valued
- SQL and experience with Spanish primary or specialist-care EHR databases.
- Clinical coding (ICD-10, ATC) and healthcare database structures.
- Familiarity with STROBE, RECORD, GRACE, TRIPOD or other standards for observational studies and prediction models.
- Machine-learning models applied to clinical data.
- Scientific publications, conference presentations and advanced English (C1 or above).
What the project offers
- Projects with a real impact on health and opportunities to contribute to international publications and conferences.
- Technical autonomy from day one within a specialist scientific team.
- An agile, collaborative environment with genuine opportunities for professional growth.
- Permanent, full-time contract, hybrid working and immediate start.
- Fixed and variable compensation.
How to apply
Email your CV to Antonio Morales. The email will open with the subject line ‘Application — Senior Biostatistician’ already completed.