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
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 […]