Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en

Health Data Science is a strategic profiling area of Tampere University that brings together domain experts on data science and health research across Faculties. Health Data Science involves advanced analytics of biological, clinical, and health care data. Our area of interest centers around population-scale health care analysis with national registers and real-world data e.g. from hospital data lakes. We aim to develop and validate predictive models to guide health care decisions on prevention, screening and treatment, as well as develop approaches to patient stratification and treatment selection to optimize outcomes and health care effectiveness. 

The position will be located at Faculty of Social Sciences (SOC) that focuses on society, health and welfare within the Unit of Health Sciences, involving biostatistics, epidemiology, health services research and other fields.

We conduct research also in collaboration with Tampere University Hospital (TAYS). Thus, the environment is strongly built to conduct translational research. Strong existing research areas in health research include applications in cancer, aging, diabetes, infectious diseases, mental health, prevention and health promotion, health services and policy, as well as nursing science.

Job description 

We are seeking highly motivated applicants with a track-record of internationally competitive research in data science and its applications in health research. 

We are interested in hiring an Assistant or Associate Professor in the area of health care data analysis. We seek candidates with experience in development and applications of novel analysis methods for studies of health care outcomes using registers and data lakes. We take a broad view of health care data analysis, including but not limited to development of computational solutions for (patient) stratification and treatment selection to optimize outcomes and health care effectiveness.

You will be expected to pursue and supervise scientific research in health data science applied to patient or population-level data at high level. Active collaboration with local, national and global research partners, as well as with clinical stakeholders and industry is encouraged. You will be expected to secure substantial external funding for your research program, as well as nurture interactions with the wider society. You can also contribute to development of degree education in health data science in line with your own expertise.

Requirements 

You should have a doctoral degree in mathematics, statistics, computational sciences, or equivalent data science field, and postdoctoral training in methods applicable to health data science at population level. An ideal candidate would have a publication record demonstrating both the ability to advance data science methodology, and to pursue novel applications on health care data. A successful candidate should have a solid track record indicating research excellence, as well as skills in teamwork and collaboration. Teaching experience will be favorably considered but is not a requirement.

Associate Professor qualification requirements: 

• applicable doctoral degree
• track record of independent scholarly or artistic activity
• teaching skills required to successfully perform the duties and functions of the position
• ability to lead a research group and acquire external funding
• track record of international scholarly or artistic activity 

Assistant Professor qualification requirements: 

• applicable doctoral degree 
• ability to undertake independent scholarly or artistic activity and potential to pursue scholarly or artistic activity at a high international level of excellence
• teaching skills required to successfully perform the duties and functions of the position

Tampere University strives for equality, diversity and inclusion at all levels, and encourages applications without regard to age, gender, ethnicity, nationality, disability or any other criterion not strictly relevant to the position.

We offer 

Tampere University is a multidisciplinary environment for research and education. We have strong research community in data sciences (e.g. biostatistics, machine learning, signal processing, bioinformatics, bioimaging, in-silico modeling) as well as on health research (public health, epidemiology, clinical research). Tampere University harbors state of the art computing and data storage. Our research environment provides access to health registries and real-world data e.g. from data lakes.

The initial appointment will be for five years, with renewal and eventual permanent tenure subject to successful performance evaluation. You will receive support throughout the five-year period to facilitate the establishment of an internationally competitive research program. A trial period of six months applies to all our new employees.

Salaries are based on a combination of job requirements and employees’ personal performance, in accordance with the Finnish University Salary System. A typical starting salary for an Assistant Professor is approximately 4100 - 4400 EUR/month and for an Associate Professor approximately 4700 - 5100 EUR/month. Higher salaries may be agreed dependent upon experience and/or performance.

We offer you the opportunity to join our dynamic and innovative international community. As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground.  

Finland is among the most stable, free and safe countries in the world, based on prominent ratings by various agencies. Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries. Tampere region is the most rapidly growing urban area in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year. 

Read more about Finland and Tampere: 

•   Visit Finland
•   This is Finland
•   Ministry of Economic Affairs and Employment: Welcome to Finland
•   Visit Tampere

How to apply 

Please submit your application through our online recruitment system (link below). The closing date for applications is 21^st of December 2022 (at 23.59 EEST, GMT+2)

Please write your application and accompanying documents in English attach them in PDF format. Applications should include the following documents::

1. Curriculum Vitae according to TENK guidelines
2. List of publications according to Academy of Finland guidelines. (Please indicate your ten most important publications and add hyperlinks to these publications. For any of the ten that are not open access, please append full copies of the published manuscript at the end of the PDF file).
3.  A short letter of motivation.
4.  A research plan (max. 5 pages) outlining your proposed research.
5. Teaching portfolio  (including your teaching and supervision experience, development of teaching skills, information on any produced teaching materials, plus your views on teaching and learning in the field: e.g. 2-3 page)

The most qualified candidates will be invited for an interview and may undergo an aptitude assessment and may be invited for an in-person visit at a later stage. They will also undergo a review by external experts and may be required to give a demonstration of their teaching skills.

For more information about the position, please contact:

Professor Jaakko Nevalainen, jaakko.nevalainen@tuni.fi, tel. +358503187272 

 With questions about the application process, please contact:

 HR Specialist Pilvi Rantanen (pilvi.rantanen@tuni.fi)

*** 

Tampereen yliopisto ja Tampereen ammattikorkeakoulu muodostavat yhdessä Suomen toiseksi suurimman monitieteisen, innostavan ja vaikuttavan tutkimus- ja oppimisyhteisön. Korkeakouluyhteisömme osaamiskärjet ovat tekniikka, terveys ja yhteiskunta. Lue lisää: www.tuni.fi

Tehtävänkuvaus 

Tampereen yliopistossa on avoinna tenure track –tehtävä, alana terveyden datatiede. Terveyden datatiede on yksi Tampereen yliopiston strategisista profilaatioaloista, joka kokoaa datatieteiden ja terveyden tutkimuksen osaajia läpi tiedekuntien.  Terveyden datatieteellä tarkoitetaan kehittyneitä laskentamenetelmiä biologisten, kliinisten ja terveydenhuollon aineistojen analysointiin. Mielenkiintomme kohdistuu erityisesti väestötason terveydenhuollon aineistoihin kuten kansallisiin rekisteriaineistoihin, tai "real world" datoihin kuten sairaaloiden tietoaltaiden potilasaineistot. Terveyden datatieteen alan päämääränä on kehittää ja validoida ennustemalleja ohjaamaan sairauksien ehkäisyyn, seulontaan ja hoitoon liittyvää päätöksentekoa, sekä kehittää menetelmiä tunnistamaan potilasryhmiä ja sopivan hoidon valintaa parhaiden tuloksien saavuttamiseksi ja terveydenhuollon tehokkuuden vahvistamiseksi.

Avoinna oleva tenure track –tehtävä sijoittuu Tampereen yliopiston Yhteiskuntatieteiden tiedekunnan Terveystieteiden yksikköön, jonka tutkimusaloja ovat esimerkiksi biostatistiikka, epidemiologia ja terveyden palvelujärjestelmien tutkimus.  Tehtävään haetaan tenure track -tutkijaa tai tenure track -professoria. 

Työskentelemme yhteistyössä Tampereen yliopistollinen sairaalan (TAYS) kanssa ja tutkimusympäristö soveltuu hyvin translationationaaliseen tutkimukseen. Vahvoja terveyden tutkimuksen alojamme ovat syövät, ikääntyminen, diabetes, tartuntataudit, mielenterveys, ehkäisyn ja terveyden edistäminen, terveyspalvelut ja -politiikka sekä hoitotiede.  

Etsimme motivoitunutta hakijaa, jolla on vahvat kansainväliset näytöt datatieteen tutkimuksesta sekä sen soveltamisesta terveyden tutkimukseen. Lue tarkemmat tiedot tehtävästä ja hakuohjeet yllä olevasta englanninkielisestä ilmoituksesta. 

Jätäthän hakemuksesi yliopiston sähköisellä hakulomakkeella (linkki löytyy tämän ilmoituksen alta).  Hakuaika tehtävään päättyy 21.12.2022 klo 23.59.