Postdoctoral Researcher, Medical Statistics

6G Flagship; Oulu; On-site; EUR 44,000 - 47,000; Full time

Benefits offered by this job

Flexible working arrangements

Career development opportunities

Occupational healthcare

HR Excellence in Research label

High quality of life in Finland

Job summary

The University of Oulu invites applications for a Postdoctoral Researcher in Medical Statistics to join the Population Health Research Unit (PoPH) within the Faculty of Medicine. The position focuses on building and evaluating machine-learning models for chronic diseases using real-world health data.

The successful candidate will design reproducible studies, manage data, write scientific articles, and present results at internal and external meetings.

Qualifications

• A doctoral degree in health data science, bioinformatics, statistics, computer science or a closely related discipline.
• Experience of utilising, evaluating and developing machine learning methods, with strong analytical and programming skills (e.g. R or Python)
• Experience of undertaking accurate, reproducible data preparation and analysis
• A track record of peer-reviewed research articles, research software and/or datasets
• Ability to organise competing priorities and deliver accurate, high-quality work to an agreed timetable
• Ability to work independently and take responsibility for planning and delivering tasks
• A collaborative and inclusive approach to interdisciplinary teamwork
• Excellent written and spoken English

Responsibilities

• Extract, link, clean and manage data from administrative health and healthcare data and other relevant sources
• Design reproducible studies and evaluate models using appropriate analytical methods
• Build and evaluate reproducible longitudinal models and research software
• Write scientific articles and contribute to articles led by other members of a multidisciplinary team
• Present research findings in scientific meetings at the unit, university and externally
• Contribute to information governance documentation, project reporting, stakeholder meetings and funding applications

Skills

Machine learning methods

Data management

Independent work

Collaboration

English proficiency

Education

Doctoral degree

Tools

R

Python

Job description

Faculty of Medicine, Population Health

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 inviting applications for a Postdoctoral Researcher in Medical Statistics to join us in the Research Unit for Population Health (PoPH), a multidisciplinary research and teaching unit in the Faculty of Medicine. The position is set within Health Dimensions, a multidisciplinary research initiative funded by the Research Council of Finland. Health Dimensions explores the complex, multidimensional nature of human health, with the aim to prevent chronic diseases and multimorbidity through a new level of understanding and acting on these dimensions - lifelong molecular, physiological, environmental, behavioural and societal mechanisms.

About The Job

The successful candidate will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced longitudinal modelling utilising real-world health and healthcare data is essential.

Key Responsibilities

• Extract, link, clean and manage data from administrative health and healthcare data and other relevant sources
• Design reproducible studies and evaluate models using appropriate analytical methods
• Build and evaluate reproducible longitudinal models and research software
• Write scientific articles and contribute to articles led by other members of a multidisciplinary team
• Present research findings in scientific meetings at the unit, university and externally
• Contribute to information governance documentation, project reporting, stakeholder meetings and funding applications

Who are you?

• A doctoral degree in health data science, bioinformatics, statistics, computer science or a closely related discipline. Your doctoral degree should be completed by the end of the application period and no longer than 10 years prior.
• Experience of utilising, evaluating and developing machine learning methods, with strong analytical and programming skills (e.g. R or Python)
• Experience of undertaking accurate, reproducible data preparation and analysis
• A track record of peer-reviewed research articles, research software and/or datasets
• Ability to organise competing priorities and deliver accurate, high-quality work to an agreed timetable
• Ability to work independently and take responsibility for planning and delivering tasks
• A collaborative and inclusive approach to interdisciplinary teamwork
• Excellent written and spoken English

We will also appreciate

• Excellent written and spoken Finnish
• Familiarity with research computing, virtual server solutions and software development
• Ability to communicate technical or clinical research concepts clearly to academic and non-academic audiences

What We Offer

• The support of a highly experienced and enthusiastic research team and unit, with whom you can share and develop your expertise
• Career development and learning opportunities in a multidisciplinary, international university setting and within Health Dimensions research initiative
• Work that matters and a workplace that promotes flexibility and work-life balance.
• Occupational healthcare and social staff benefits.
• University of Oulu has an HR Excellence in Research -quality label, which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers.
• Finland is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and a competitive economy.

Contract and salary

This is a fixed-term position, with an anticipated starting date of 1st November 2026 (or as soon as possible thereafter) and an expected end date of 31st August 2028.

The salary will be based on the levels 5-6 of the demand level chart for teaching and research staff at Finnish universities. In addition, a salary component based on personal work performance will be paid (a maximum of 50 % of the job-specific component). The starting gross salary will be approx. 3900-4200 € per calendar month.

A trial period of 6 months is applied to the position.

Interviews (in-person or remotely) will be held in October 2026.

We welcome applicants from all backgrounds, such as people of different ages, genders, and linguistic, cultural and ethnic groups. University of Oulu is committed to supporting and promoting equality and diversity and to creating an inclusive environment for all.

Contact Information

For questions, please contact Associate Professor Katriina Heikkila (katriina.heikkila[at]oulu.fi).

• Type of employment: Temporary position over 6 months
• Contract type: Full time
• Number of positions: 1
• Full-time equivalent: 100%
• City: Oulu
• County: Pohjois-Pohjanmaa
• Country: Finland
• Reference number: 2026/576
• Last application date: 04.Oct.2026

Text edited 28.9.2026: application deadline changed from 30.9.2026 to 4.10.2026.