Job ID: 122974

Data Scientist – Data-Driven Neuroscience Discovery

Position: Data Scientist – Data-Driven Neuroscience Discovery

Deadline: 1 September 2025

Employment Start Date: 1 November 2025

Contract Length: Permanent

City: Stockholm

Country: Sweden

Institution: Karolinska Institutet

Department: Neuroscience

Description:

Data Scientist – Data-Driven Neuroscience Discovery

The Meletis Laboratory at Karolinska Institutet is recruiting a Data Scientist to drive data analysis and integration in a cutting-edge neuroscience research. Our lab investigates neural circuits underlying motivation, decision-making, and psychiatric dysfunction using large-scale datasets, including single-cell transcriptomics, whole-brain circuit mapping, behavioral classification, and neural recordings.

We are seeking a candidate with strong analytical expertise and a deep interest in biological discovery to lead data-driven efforts across multiple projects.

Key Responsibilities:

* Develop and apply computational tools including deep learning algorithms for multi-modal data analysis (e.g., transcriptomics, connectomics, behavior).

* Integrate and interpret data from large-scale connectivity studies, circuit perturbation through optogenetics, calcium imaging, and behavioral paradigms.

* Collaborate closely with experimentalists to extract insight from complex datasets and guide experimental design.

* Drive the generation of high-quality visualizations and figures for publications and grants.

* Contribute to project planning, grant writing, and manuscript preparation.

* Mentor junior scientists in data science and statistics.

* Manage timelines and resources across collaborative projects.

Qualifications:

* PhD or equivalent experience in computational biology, data science, neuroscience, or a related field.

* Proficiency in programming and data analysis.

* Experience with large-scale biological data, preferably in neuroscience (e.g., single-cell RNA-seq, spatial transcriptomics, imaging data).

* Strong communication and collaboration skills.

* Ability to work independently and lead data-intensive aspects of research projects.

This is a unique opportunity to work in a highly interdisciplinary and ambitious research environment, with access to state-of-the-art data and infrastructure, and collaborations across experimental and clinical neuroscience.

This position offers many opportunities for scientific independence and career development.