Health Data Analyst

• Design and implement statistical analyses and predictive risk models based on the research questions from clinicians.
• Apply appropriate statistical and machine learning methods to large-scale health datasets.
• Develop and validate predictive risk models, including integration of routine healthcare data with genetics-derived features where appropriate.
• Interpret analysis results and communicating findings to both technical and non-technical stakeholders.
• Collaborate with clinicians, researchers, IT specialists, and external partners.
• Contribute to scientific publications, reports and grant deliverables.
• Ensure data quality, reproducibility, and compliance with data protection and ethical requirements.
• Present results to various stakeholders and the wider public.

Higher education (preferably Master's degree) in data science, statistics, computer science, mathematics, bioinformatics, epidemiology, or a related field.

• Experience working with healthcare data and OMOP CDM.
• Strong knowledge of statistical methods.
• Experience with statistical programming languages such as R.
• Experience with SQL and working with relational databases.

• Excellent written and verbal communication skills, with the ability to explain complex analytical results to mixed audiences: clinicians, researchers, and non-technical stakeholders (including public-facing presentations).
• Initiative and solution-orientated mindset.
• Sense of duty and responsibility.
• Very good teamwork and collaboration skills.
• Analytical thinking and problem-solving skills.
• Ability to independently plan and organize one's own work.
• Ability to translate between clinical questions and statistical design.

• CV
• Motivation letter
• Salary request in gross

We value the diversity of university employees and encourage all people to apply for jobs, regardless of their personal differences or specific features. Creating an inclusive working environment and promoting equal treatment are important to us.

Read more about what we have done to promote diversity.

• Interesting and meaningful work in the largest and fastest-growing institute of the University of Tartu.
• Excellent working environment in the Delta academic building of the University of Tartu.
• Various opportunities for development and self-improvement.
• Friendly and supportive team.
• Basic vacation of 35 days per year and health promotion support.
• We pay the sickness benefit for days 2–8 at 100% of the average wage.
• Opportunities for authorship and scientific output.
• Participation in international research networks.

Read more!