Health Data Scientist/Epidemiologist
The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world.
The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalised medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki - a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.
FIMM is currently seeking
Health Data Scientist/Epidemiologist
The Data Science and Genetic Epidemiology Lab (https://www.dsgelab.org/) lead by Dr. Andrea Ganna is interested in the development or application of methods to early identify common preventable diseases. In our group, we integrate electronic health records, image data and genetic information from large biobank-based studies (e.g. https://www.finngen.fi/en). Our team includes experts in machine learning, human genetics and epidemiology.
We have launched two COVID-19 related initiatives: The COVID19 Host Genetic Initiative (https://www.covid19hg.org/), to study the genetic determinants of COVID19 severity, and the PREDICT consortium, establishing a Nordic collaboration to study the long term impact of COVID-19 in the Finnish, Danish and Swedish population, leveraging unique nation-wide health and economic data.
Our lab is based at FIMM and Massachusetts General Hospital/Harvard Medical School and affiliated with the Broad Institute. The candidate would be able to work periodically in both locations. FIMM also provides excellent training opportunities for postdoctoral researchers through the FIMMPOD postdoctoral program.
Qualification and requirements: We are looking for future research leaders to work within the PREDICT consortium and develop a robust analytical framework to study the long-term health and economic impact of COVID-19, including the use of machine learning methods for causal inference and family-based designs. The candidate will have access to an unprecedented amount of health information (diagnoses, medications, socio-demographic information, image data, etc.) from millions of individuals in combination with biobank-based genetic data. The successful candidate should prove a solid understanding of epidemiological design and statistical methods for health sciences (e.g. survival analysis).
The candidate should hold a Ph.D. in the field of statistics, biostatistics, epidemiology, machine learning, or computational sciences and preferably have a strong track record in analyzing large-scale health/genetic data. The ideal candidate shows scientific independence, has publishing experience, and an aptitude for developing techniques. Together with the PI, she/he is jointly responsible for coordinating projects and supervising Ph.D. students.
Contract & salary: The job is for a fixed-term of 2 years with a possibility of extension for additional two years. A trial period of 6 months will be applied. The starting salary will be ca. 3600 - 4200 euros/month, depending on the appointee’s qualifications and experience and including a salary component based on personal performance. Standard Finnish pension benefits and occupational health care are provided for University employees.
Finland is a member of the EU, has high quality free schooling (also in English) and generous family benefits and healthcare. Finland was recently ranked as the best country in the world for expat families, and Helsinki in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/university/working-at-the-university.
How to apply: The application should include (i) CV, (ii) a publication list, (iii) a one-page statement of research interests and motivation for applying for this position and (iv) contact information of at least two reference persons who have agreed to provide a written statement on behalf of the applicant.
To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal. Please apply no later than 1 July 2021.
For further information about the position, please visit our website at https://www.dsgelab.org/ or visit https://www.helsinki.fi/en/hilife-fimm or contact Andrea Ganna (email@example.com). For questions regarding the recruitment process, please contact HR Specialist Anu Roine (firstname.lastname@example.org). Technical support regarding the recruitment system: email@example.com.
01.07.2021 23:59 EEST