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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).
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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
On June 12-14, NEAR attended the 27th Nordic Congress of Gerontology (NKG) 2024 held in Stockholm. Bringing together gerontology knowledge and innovation, the congress theme was ageing in a transforming world. Over 850 attendees from more than 44 countries participated in the conference. NEAR was featured with an interactive booth where attendees could explore a […]
NEAR is looking for a Database Coordinator with Data Scientist tasks. Join us in driving innovation and discovery in aging research. Apply now to be part of the NEAR team and contribute to a transformative initiative with far-reaching implications for public health and well-being. Your Mission We are looking for a highly capable data scientist to […]
On April 8-9, NEAR database managers met at Blekinge Institute of Technology (BTH) in Karlskrona for a two-day workshop onsite and online. The first day started with welcoming and updating everyone about recent NEAR activities. This was followed by two well-attended presentations by Robert Thiesmeier, who discussed missing data methods, and Debora Rizzuto who presented […]