March 31, 2025

Deadline 14 April: NEAR is looking for a Statistician

Apply now for the possibility of joining the NEAR team as a Statistician and contributing to an initiative with far-reaching implications for public health and well-being!

Your mission

NEAR is a ground-breaking infrastructure comprising 15 databases derived from longitudinal cohort studies across various regions in Sweden, collectively encompassing over 100,000 individuals aged 50 and above. The main focus of this position is to assist NEAR users with data cleaning, harmonization, and statistical support for research projects. Primary job duties include:

• Collaborating with research teams to provide statistical input in the design, execution, and analysis of studies.
• Cleaning, harmonizing, and consolidating data from different cohorts within NEAR to ensure comparability using standardized methodologies.
• Managing, processing, and verifying large datasets for statistical modeling and analysis.
• Supporting researchers by preparing cleaned datasets and contributing to the development of statistical models.
• Assisting in the preparation of written and oral presentations that summarize data analyses, interpret results, and provide recommendations.

Your profile

We are looking for you who have the required background and the capability to work in a cross-disciplinary team. You must also be independent, able to take initiative and find solutions. The applicant must also possess good organizational skills, attention to detail, and communication abilities.

Required Knowledge, Skills & Abilities

• A Master’s degree in Statistics or Biostatistics.
• Work experience in data analysis preferably in the aging research field.
• Knowledge of statistical software (e.g. SAS, Stata, SPSS, R, Python).
• Demonstrated programming skills with proficiency in R.
• Experience in data harmonization process of multiple datasets.
• Excellent written and oral communication skills.
• Fluent in written and spoken English

Preferred Knowledge, Skills & Abilities

• Ability to work in a collaborative environment with researchers having differing quantitative and clinical backgrounds.
• Interest in professional development in statistics is appreciated.

Read more and apply by 14 April, 2025