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Biostatistician, Lifecourse Medicine, Faculty of Medicine

  • On-site
  • Finland
  • English
  • Posted 23.09.26 11:51

The University of Oulu is a multidisciplinary, international research university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 19,000 people in total. Our northern scientific community operates globally and creates conditions for the emergence of innovations. The University of Oulu is ranked in the top 3% of the world’s universities. All our research, education, and community activities are guided by our university’s values and ethical principles.

We are now looking for a

Biostatistician

to join us in the Research Unit of Clinical Medicine for a fixed-term position lasting until 31 December 2029.

You will be based with the Lifecourse Medicine and Birth Cohort Research Group at the Clinical Medicine Research Unit. Our mission in the research group is to understand how exposures early in life, from the fetal period onwards, affect health and well-being during the life course, up to the next generation, and to use this information to advance lifelong health and well-being. We are in particular interested in adult and next-generation outcomes of people born preterm or small for gestational age in high and low resource settings.

In our research we use various types of data including whole-population data from national social and healthcare registers from Finland and other Nordic countries and data from clinically studied children and adults in high and low resource settings, including detailed physiological measurements and omics data.

About the job

As a biostatistician, you willBe responsible for data management including data cleaning, harmonisation and documentation and preparation of analysis datasets of diverse data types such as social and healthcare register data, data from physiological and biochemical measurements, omics data or data collected by wearables. This work is conducted in close connection with other group members, much of it in data secure remote access environments including Findata Kapseli, Statistics Finland Fiona Centre for Scientific Computing CS Desktop or corresponding Nordic environments. The job may include visits to the Nordic and other collaborators' institutions.Contribute to the design of data management solutions to maximise work efficacy and data security.Handle data access and ethics committee applications and other regulatory requirements of use of data.Contribute to research and statistical analysis plans together with other research group members, conduct statistical analyses according to these plans and document their results and methodologies used. Provide advice and take part in training of other group members on data management and data analysis.Take part in other related activities of the research group.Actively train to learn new statistical analysis and data management methods.Depending on the interest and experience of the successful applicant, the job may also include a more active role in developing scientific research questions and writing scientific papers. What we offerWorking in one of the globally leading teams studying lifelong outcomes of preterm birth and related traits. Wellness benefit ePassi covering sport, culture, and well-being, and flexible multi-location and remote work opportunities. Read more about other staff benefits.Work-life balance.Development and career options of the big organisation.Work that matters! Read more about working with us.Finland is one of the most livable countries in the world, with a high quality of life, safety, excellent education system, and competitive economy. Read more about living in Oulu! Who are you?

In order to succeed and enjoy the position, we require from you:A Masters degree in a relevant field including, but not limited to, statistics, mathematics, or bioinformatics. Fluency in written and spoken EnglishVery good familiarity with at least one commonly used statistical software and ability to support and work with group members working with different statistical software. Experience in data management and statistical analysis in research using large quantitative datasets.Good communication and work organisation skills.We also appreciateA doctoral degree. Finnish language skills. The working language of the research group is English, but documentation including that of the data regulatory authorities may be in Finnish. Scientific contributions including scientific publications.The final job description will be shaped according to the skills and interests of the successful candidate.

Salary

The position is fixed term starting from 1.12.2026 (or as agreed) until 31.12.2029.

The salary will be based on the levels MV08-MV09 of the demand level chart for other expert and support staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50 % of the job-specific component). Starting gross salary will be approx.3300-4200 EUR per month (before taxes), depending on experience. A trial period of 6 months is applied to the position.

How to apply?

Interested? If yes, please apply by 1.11.2026 through our recruitment system. Please attach aCover letterCV Brief description (maximum one page), in your own words, why you apply and how you meet the requirements of this position.The eligible applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. Interviews will be held during the latter half of October. The selection process may include more than one interview and a suitability assessment. The shortlisted candidates are also asked to submit their diplomas, and their references will be contacted. All applicants will be notified during the selection process.

We welcome applicants from all backgrounds, such as people of different ages, genders, and linguistic, cultural, or minority groups.

Contact Information

If you have any further questions, please contactProfessor Eero Kajantie, eero.kajantie@oulu.fi , Tel +358 50 473 9438.