Uppsala University, Department of Medical Sciences

The Department of Medical Sciences is a large clinical institution with more than 250 employees and over 300 additional coworkers connected via the Uppsala University Hospital. The Department of Medical Sciences has a broad research profile with strong research groups in a number of different areas. The research carried out at the department is performed in close connection with the clinical activities at the Uppsala University Hospital, which includes both basic studies on the causes of a variety of illnesses and the development and evaluation of improved diagnostics and new treatment methods. More information about the Department of Medical Sciences can be found at www.medsci.uu.se.

The research group Molecular Epidemiology at the Department of Medical Sciences, Uppsala University is led by Professor Tove Fall. The group integrates information from large population-based studies with molecular measurements and both traditional and novel epidemiological methods to study how chronic diseases such as diabetes and heart disease are connected to genetic variation, circulating biomarkers such as proteins or metabolites, or phenotype or organ function that can be estimated using imaging diagnostic methods such as ultrasound or MRI. Different lifestyle traits are also studied in the group. In our research, we combine data from several different sources, including data registries and cohort studies that include analyses of DNA, circulating proteins and metabolites. Furthermore, we research the association of intestinal microbiota with non-communicable diseases, and more recently we are investigating transmission of SARS-Cov-2 and the relationship between symptoms of COVID-19 and chronic diseases.

Additional information about the Molecular epidemiology/Fall research group can be found via https://www.medsci.uu.se/research/molecular-epidemiology/.

Description of the work: We are looking for a highly motivated and detail-oriented statistician with experience working with molecular data (“-omics”) and/or epidemiology studies.

Part of the work will consist of planning and performing statistical analyses together with the responsible researcher within a FORMAS-funded project led by Dr. Shafqat Ahmad. The aim of the project is to investigate the role of dietary meat intake in relation to gut microbiota and plasma metabolite signatures and whether these biomarkers mediate the future risk of cardiometabolic disease. The research is conducted within SCAPIS (Swedish CArdioPulmonary bioImage Study), which is a unique Swedish research project within the field of cardiovascular and pulmonary disease with 31,100 participants between the ages of 50 and 64 years.

Other tasks will consist of performing statistical analyses in other research projects, and to some extent, bioinformatics tasks such as quality control and normalization procedures of -omics data. The methods that are often used are mixed models, generalized linear models (logistic, Poisson), survival analysis, LASSO, adjustments for multiple testing, and Mendelian randomization.

Duties description:

  • Statistical analysis in different research projects
  • Document performed analyses, data management and results
  • Support the research group with expertise in statistics

Qualifications:

  • University diploma at the BSc level in statistics or in a relevant subject (e.g. medicine, biology, bioinformatics)
  • Experience with choosing appropriate methods and performing statistical analysis, preferably with Stata or R
  • Experience with regression analyses
  • Ability to work independently
  • Ability to collaborate in an international group
  • Experience of working methodically and structured
  • Experience with careful documentation of analyses, methods, and results
  • The applicant should also be able to share his/her knowledge with colleagues.
  • The person should also be service-minded
  • High proficiency in written and oral communication in English

Additional qualifications:

  • PhD Education and experience in bioinformatics, epidemiology, medicine, or biology
  • Experience working with large data sets in a server environment (UNIX)
  • Experience with Mendelian randomization
  • Experience working with diet data, genetics, metabolomics, or microbiome studies
  • Authorship in high-quality peer-reviewed scientific publications
  • Ability to communicate in written and oral Swedish

Application:

  • The application, written in English or Swedish, includes:
  • Letter of interest describing yourself, your research interests and your motivation to apply for the position of statistician (max 2 pages)
  • Curriculum vitae
  • Publication list
  • Copy of your Bachelor’s degree certificate (diploma), course grades, and an copy of a thesis or a research publication
  • Names and contact information for two reference persons

Salary: Individual salary.

Starting date:  As soon as possible or as otherwise agreed.

Type of employment: Permanent employment with 6 months trial period.

Scope of employment: 100 %.

For further information about the position please contact: Tove Fall, tove.fall@medsci.uu.se.

Please submit your application by 20 May, 2021, UFV-PA 2021/1636.

Type of employment Permanent position
Contract type Full time
First day of employment As soon as possible or as otherwise agreed
Salary Individual salary
Number of positions 1
Full-time equivalent 100 %
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2021/1636
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 29.Apr.2021
Last application date 20.May.2021 11:59 PM CEST

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