Clinical Statistician

The Center for Molecular Fingerprinting (CMF,  www.cmf.hu ) is developing cutting-edge femtosecond laser technologies to advance electric-field molecular fingerprinting techniques based on field-resolved infrared spectroscopy. The laser spectrometers developed at CMF will be utilized in large scale clinical studies to target disease detection. To this end, human samples along with clinical information have been collected to perform high-throughput measurements that will encompass several tens of thousands of sample measurements per year within the CMF laboratories.
The Data Science division specializes in exploring the potential of combining machine learning with spectroscopy to provide affordable medical screening solutions, complementing health checkups and supporting reliable clinical decisions.
The research is led by last year´s Nobel laureate Prof. Dr. Ferenc Krausz and performed in close collaboration with the Attoworld laboratories at the Ludwig Maximillians Universität München (LMU) and the Max-Planck Institute of Quantum Optics (MPQ). The aim of the CMF operations is to apply next-generation laser spectrometers for the analysis of human blood samples to non-invasively detect disease and monitor health.
The Data Science division is a multinational team based in two locations—Budapest, Hungary and Munich, Germany—working on multiple clinical studies. Our flagship study, H4H (Health for Hungary - Hungary for Health), includes 15,000 participants with planned follow-up periods of 5-10 years.
We are seeking a highly motivated Clinical Statistician / Biostatistician to join our research team. This role will provide statistical expertise in the design, analysis, and interpretation of clinical studies. The ideal candidate will contribute to protocol development, statistical analysis, and scientific publications, ensuring the highest quality of data integrity and methodological rigor. The role also involves collaboration with cross-functional teams, including data scientists and clinical researchers, to ensure robust study design and execution.

• Study Design & Protocol Development
  • Provide statistical input on study protocols and contribute to study design.
  • Write and review statistical sections of protocols, ensuring methodological soundness.
  • Select and justify appropriate statistical methods for data analysis.
• Statistical Analysis & Data Management
  • Develop and author statistical analysis plans (SAPs).
  • Conduct statistical analyses using appropriate methodologies and software tools.
  • Work closely with data scientists to design and implement data quality checks and analyses.
  • Maintain up-to-date knowledge of statistical methodologies and apply innovative techniques when appropriate.
• Collaboration & Influence
  • Collaborate with researchers, clinicians, and team members to ensure sound research methodology.
  • Advise team members regarding appropriate statistical approaches, research methods, and their implementation.
  • Provide statistical guidance on data interpretation and decision-making.
• Scientific Communication & Publications
  • Perform peer reviews of scientific manuscripts intended for high-impact journals.
  • Assist in the writing and review of scientific publications.
  • Communicate study results through reports, presentations, and scientific manuscripts.
  • Present research findings at internal meetings and external scientific conferences.

• PhD or Master's degree in Biostatistics, Statistics, Epidemiology, or a related field.
• 3 years of experience in clinical research, pharmaceutical/biotech industry, or academic settings (a PhD in a relevant field counts toward this experience).
• Excellent level of English and Hungarian.
• Technical Skills:
  • Proficiency in one statistical programming language such as Python, R or STATA.
  • Strong knowledge of statistical methodologies, including survival analysis, mixed effects models, Bayesian methods, etc.
  • Experience with clinical study design, observational studies, or real-world evidence analysis.
• Soft Skills:
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and scientific writing skills.
  • Ability to work collaboratively in a multidisciplinary team.
  • Interest in advising and mentoring on statistical methodology and its implementation

• Experience publishing in peer-reviewed journals.
• Experience with machine learning or data science applications in biomedical research.
• Basic skills in Python.

• A versatile range of work packages, including:
  • Higher-than-usual cafeteria allowance,
  • Private health insurance,
  • Yearly performance incentives,
  • 30 guaranteed annual vacation days,
  • Professional training opportunities.
• Home office option, 1-2 days per week.
• Team activities and team-building events.
• Office leisure opportunities: darts, table tennis, yoga.
• A dynamic work environment with the opportunity to engage in a rapidly evolving and innovative field.
• Long-term opportunities alongside highly qualified and motivated professionals.
• An international work environment with professional development opportunities.
• A solution-oriented atmosphere with the chance to contribute to the success of a dynamic and growing organization.