Statistician (Data Analyst) at the Department of Neuroscience and Physiology

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At the Department of Neuroscience and Physiology at Sahlgrenska Academy, extensive research and teaching are conducted across large areas of knowledge - from molecule to human. The operations consist of five sections: pharmacology, physiology, health and rehabilitation, clinical neuroscience, and psychiatry and neurochemistry.

The Department of Neuroscience and Physiology is now seeking a statistician (data analyst) to be placed at the Section of Psychiatry and Neurochemistry.

The Section of Psychiatry and Neurochemistry is a dynamic and interdisciplinary research and educational environment with a strong clinical foundation. Here, both basic and applied research is conducted in psychiatric diseases, neurobiology, and treatment methods – in close collaboration with healthcare. The position offers a central role in a growing research field with great opportunities for development and collaboration across professional boundaries.

Job Responsibilities

A research group at the section, conducting research on the side effects of lithium treatment with a particular focus on kidney damage, works with extensive registry and lab data from Sahlgrenska University Hospital. We are now looking for a statistician (data analyst) for an intermittent position focusing on advanced data processing, analysis, and modeling of large datasets.

The work requires:

• very good knowledge of Python (especially pandas) and statistics
• documented experience in data processing of clinical or research-related data
• ability to work in a structured and reproducible manner
• understanding of confidentiality and ethical requirements in handling sensitive patient data (e.g., GDPR, ethically approved projects)

The work can largely be performed remotely and scheduled flexibly.

Qualifications

Requirements:

• Degree in mathematics, statistics, physics, data science, or another relevant quantitative discipline
• Very good knowledge of statistics, statistical models, and programming – especially in Python and pandas
• Ability to work in a structured and reproducible manner with large datasets

Desirable:

• Ongoing or previous doctoral studies in mathematics, statistics, physics, or related fields
• Experience in research work with clinical or registry-based data
• Previous work with statistical modeling and advanced data management

We place great emphasis on personal suitability.

Employment

The position is a fixed-term (intermittent) employment for 11 months. You will work hours as needed with placement at the Department of Neuroscience and Physiology. Start date: as soon as possible or by agreement.

Contact Information for the Position

If you have questions about the position, please contact university lecturer/consultant Steinn Steingrimsson, email: [email protected] (mailto:[email protected])

The responsible manager is professor/section head Henrik Zetterberg, phone: +46 768 672 647, email: [email protected] (mailto:[email protected])

Application documents should not be sent to the contact persons.

Trade Unions

Trade union representatives at Gothenburg University can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande (https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande)

Application

You apply for the position via Gothenburg University's recruitment portal by registering your application electronically via the website: https://www.gu.se/jobba-hos-oss/lediga-anstallningar (https://www.gu.se/jobba-hos-oss/lediga-anstallningar)

As an applicant, you are responsible for ensuring that your application is complete in accordance with the advertisement and that it is received by the university no later than the application deadline.

The application must be received by: 2026-01-08

The university actively works for a work environment with equal conditions and values the qualities that diversity brings to the organization.

The university applies individual salary setting.

According to the National Archives' regulations, the university is obliged to store application documents for two years after the appointment decision. If you, as an applicant for a position, specifically request the return of your documents, they will be returned after the two years have passed; otherwise, they will be disposed of.

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