NEAR is looking for a Database Coordinator who primarily will lead the work on metadata documentation. The primary task is to document collected data and verify that already documented data follows the correct format. The Database Coordinator will also lead the documentation performed by the other database managers and act as a project manager and work together with researchers and statisticians to harmonize data from 15 longitudinal databases on aging and health. The position is a one-year substitute.

Your profile
The applicant should have a PhD in epidemiology, public health, or statistics. Moreover, the applicant needs to have good knowledge of aging and health, as well as very good knowledge of statistical programs (e.g., STATA, SPSS). Excellent knowledge in both Swedish and English is crucial.

Read more and apply latest by 5 October, 2021

NEAR is looking for a postdoctoral researcher to conduct work on gene-environment interplay in older adults included in NEAR. Specifically, longitudinal analyses will be conducted to understand how interventions from drug therapy interact with individual aging trajectories as assessed by different biomarkers of aging. The post-doc researcher will mainly be working with NEAR data harmonization for the variables related to the project, and will be responsible for project planning, data preparation (together with database managers within NEAR), and data analysis. The post-doc researcher will spend her or his time at the Aging Research Center (ARC) and the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet (KI).

Your profile
The applicant should have a PhD related to epidemiology, pharmaco-epidemiology, or aging and have experience with methods in biostatistics and epidemiological research, as well as registry-based data and/or genetic data. Excellent data management skills in R, SAS and/or Stata and Unix programming are meriting.

Read more and apply latest by 2021-09-17

NEAR is looking for a postdoctoral researcher to conduct work on epidemiological research on depression in relation to neurodegenerative disorders in older adults. The postdoc researcher will spend her or his time at KI and GU carrying out a project concerning the complex interrelations between psychiatric- and neurodegenerative disorders. The postdoc researcher will be working with NEAR data harmonization for variables related to the project. 

Your Profile
The applicant should have a PhD in Medicine and have good knowledge of depression in late life. A Master of science in Public Health is preferred. Experience of working with data collection and logistics within population-based epidemiological studies, data cleaning, quality controls and work of improvements in databases is also necessary. Experience of previous research in epidemiology, aging or mental illness is a merit. Experience in quantitative methods is also a merit. Scientific productivity (in terms of published articles) and documented ability to apply for and get funding, are further merits. Great emphasis will be placed on collaborative ability, ability to work independently and personal suitability. We stress research expertise when assessing applicants.

Read more and apply latest by 25 June, 2021

NEAR is looking for a statistician to provide biostatistical and epidemiological support to the NEAR projects’ researchers. Primary job duties include: 1) Working as a member of a research team/study team to provide appropriate statistical input in the design, execution and analysis of studies; 2) Participating in the development of operations and procedures for the harmonization, cleaning and management of statistical data; 3) Processing large amounts of data for statistical modelling and graphic analysis; 4) Participating in the preparation of written and oral reports that summarize the analysis of data, interprets the results and provides conclusions and recommendations.

Your profile
We are looking for you who have the required background and the capability to work in a multi-disciplinary team, to be independent and able to take initiatives as well as to find solutions. The applicants must also possess good organizational skills, attention to detail, and communication abilities.

Required Knowledge, Skills & Abilities

Read more and apply latest by 17 June, 2021

The core interests of the postdoc position rely on the identification of modifiable risk factors for the development of neurocognitive disorders, based on multifactorial data from the National E-Infrastructure on Aging Research (NEAR) by using deep learning and other artificial intelligence (AI) techniques. The postdoc researcher will spend her or his time at KI and Blekinge Institute of Technology. The postdoc researcher will mainly be working with NEAR data harmonization for variables related to the project. The postdoc researcher will be responsible for project planning, data preparation (together with database managers within NEAR), data analysis, and writing of scientific articles. The multidisciplinary project employs multiple machine learning and deep learning algorithms directed at solving healthcare problems.

Your profile
The applicant should have a PhD in biostatistics, epidemiology, or AI/Deep Learning and good knowledge of advanced statistics in health settings. Essential skills are processing and interpreting health data in multiple forms, including big data healthcare multifactorial databases, as well as medical imaging. Experience of data collection and logistics within population-based studies, data cleaning, quality controls and work on databases is also a strength. Scientific productivity (published articles) and experience from large-scale scientific collaborations are further merits. 

Read more and apply latest by 2021-06-02

NEAR is looking for a postdoctoral researcher to conduct work on gene-environment interplay in older adults included in NEAR. Specifically, longitudinal analyses will be conducted to understand how interventions from drug therapy interact with individual aging trajectories as assessed by different biomarkers of aging. The post-doc researcher will mainly be working with NEAR data harmonization for the variables related to the project, and will be responsible for project planning, data preparation (together with database managers within NEAR), and data analysis. The post-doc researcher will spend her or his time at the Aging Research Center (ARC) and the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet (KI).

Your profile
The applicant should have a PhD related to epidemiology, pharmaco-epidemiology, or aging and have experience with methods in biostatistics and epidemiological research, as well as registry-based data and/or genetic data. Excellent data management skills in R, SAS and/or Stata and Unix programming are meriting.

Read more and apply latest by 2021-06-02

 

 

NEAR is looking for a postdoctoral researcher to conduct work on structural brain imaging data acquired within the longitudinal population studies of older adults included in NEAR. The postdoc researcher will mainly be working with NEAR data harmonization for brain-imaging variables related to the project. The major goal is to develop and evaluate a metric that captures global brain integrity. The postdoc will spend his or her time at KI and Umeå Center for Functional Brain Imaging (UFBI) at Umeå University.

Your profile
The applicant should have a PhD in cognitive neuroscience, psychology, neuroscience or related fields, and have expertise in the cognitive neuroscience of aging. Experience of working with brain-imaging data, especially magnetic resonance imaging (MRI) data, will be required. Experience of data collection and logistics within population-based studies, data cleaning, quality controls and work on databases is also a strength. Scientific productivity (published articles) and experience from large-scale scientific collaborations are further merits.

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