Two tenure-track positions in health data science
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 areas of interest range from in depth biological disease characterization at genome and phenotype level to population scale health care analysis with national registers and real-world data e.g. from hospital data lakes. We aim to develop and validate biomarkers and predictive models for prevention, screening and treatment, as well as develop approaches to stratification and treatment selection to optimize outcomes and health care effectiveness.
Positions will be located at Faculty of Medicine and Health Technology (MET) and Faculty of Social Sciences (SOC) based on research focus of the applicants. MET is dedicated to pursuing world-class research and delivering high-quality education in the fields of biomedical engineering, biotechnology, medicine and health technology. SOC focuses on society, health and welfare and one position is located with Unit of Health Sciences, involving biostatistics, epidemiology, health services research and other fields.
We conduct basic, applied, as well as clinical research 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, cardiovascular and celiac disease, diabetes, immunology and medical technology.
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. Two tenure track position(s) are available:
Position 1: We are interested in hiring an Assistant or Associate Professor in the area of biomedical data analysis on large scale datasets, but welcome applications in all areas of medical and health data analysis. We take a broad view of medical and health data, including but not limited to sequencing, biomedical imaging, phenotype analysis, and applications of these. We encourage candidates with interest in developing computational solutions to improve healthcare to apply.
Position 2: We are interested in hiring an Assistant or Associate Professor in the area of healthcare data analysis. We especially encourage applications from candidates with experience in development and applications of novel analysis methods for population-level studies of health care outcomes using registers and data lakes. We take a broad view of healthcare data analysis, including but not limited to development of computational solutions for (patient) stratification and treatment selection to optimize outcomes and health care effectiveness.
In both positions you will be expected to pursue and supervise scientific research in your topic area at the highest 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.
Tampere University is a multidisciplinary environment for research and education. We have strong research community in data sciences (e.g. machine learning, signal processing, bioinformatics, bioimaging, in-silico modeling, biostatistics) as well as on health research (genomics, epidemiology, clinical research). Tampere University harbors state of the art computing and data storage as well as molecular research infrastructure. 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 enjoy a generous startup package, subject to negotiation, and 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 - 4500 EUR/month and for an Associate Professor approximately 4700 - 5500 EUR/month. Higher salaries may be agreed dependent upon experience and/or performance.
Finland provides one of the most advanced and comprehensive social security systems in the world. It includes, for example, sickness and family benefits and a comprehensive healthcare system.
How to apply
Please submit your application through our online recruitment system:
tuni.rekrytointi.com/paikat/?o=A_A&jid=1003&rspvt=m72l2uy1d5w48scgw0skkccsk8sgs00#login_form
The closing date for applications is 31.5.2021 (at 23.59 EEST, GMT+3 / 20.59 UTC)
You should have a doctoral degree (e.g. mathematics, statistics, or computational sciences) and postdoctoral training in area relevant for pursuing career in data science applicable in health research, with 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:
- track record of independent scholarly or artistic activity
- teaching skills required to successfully perform the duties and functions of the position
- proven ability to lead a research group and acquire external funding
Assistant Professor qualification requirements:
- ability to undertake independent scholarly or artistic activity and potential to pursue scholarly or artistic activity at a high international level of excellence.
- experience in collaborating with international scientific community
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.
Please submit your application through our online recruitment system
tuni.rekrytointi.com/paikat/?o=A_A&jid=1003&rspvt=m72l2uy1d5w48scgw0skkccsk8sgs00#login_form
The closing date for applications is 31.5.2021 (at 23.59 EEST, GMT+3 / 20.59 UTC)
Please write your application and accompanying documents in English and send all attachments in the form of a SINGLE PDF file. This file should be a compilation of the following documents:
- Curriculum Vitae
- List of publications (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).
- A short letter of motivation.
- A research plan (max. 5 pages) outlining your proposed research.
- 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. 1 page)
- The names, positions and contact details of three academic referees who can support your application.
Candidates may be invited for a video interview during the recruitment process and may also be invited for an in-person visit at a later stage, that may include an aptitude assessment. They will also undergo a review by external experts and, for applicants at associate professor level, may be required to give a demonstration of their teaching skills.