Research Specialist in Psychiatric Genomics and Data Science

Research Specialist in Psychiatric Genomics and Data Science

Do you want to contribute to high-quality medical research with the potential to improve our understanding of psychiatric disorders and outcomes?

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb.

The KI Psychiatric Genomics Institute (KI-PGI) at MEB is seeking a full-time Research Specialist (100%).

Led by Principal Researcher Dr. Lu Yi, KI-PGI is a multidisciplinary research group dedicated to understanding the complex interplay between genetic, biological, and environmental factors in psychiatric disorders. The broader research environment focuses on leveraging diverse health data resources together with modern statistical, epidemiological, and data science methods to generate new knowledge about psychiatric disorders and improve opportunities for prevention, early identification, and personalized care. Through the integration of large-scale population data, genomic information, and advanced analytical approaches, KI-PGI aims to elucidate the mechanisms underlying psychiatric disease risk, clinical heterogeneity, and long-term outcomes. More information about KI-PGI is available at: https://ki.se/en/meb/research/ki-psychiatric-genomics-institute

We are recruiting a full-time research specialist (100%) with experience in population-based psychiatric research and large-scale data analysis. The successful candidate will contribute to research projects investigating the development, progression, and outcomes of psychiatric disorders using comprehensive epidemiological, clinical, and genomic data.

The candidate will apply advanced analytical approaches, including statistical modelling, machine learning, and/or genetic epidemiological methods, to study disease trajectories, risk factors, treatment patterns, and sources of heterogeneity in psychiatric disorders. The role includes responsibility for data management and analysis, interpretation and dissemination of research findings, manuscript preparation, and presentation of results in scientific and collaborative settings.

The successful candidate will contribute to reproducible, high-quality research aimed at improving understanding of psychiatric illness and identifying factors associated with different clinical outcomes. The position offers opportunities to work within a collaborative research environment combining epidemiology, biostatistics, genomics, and data science.

Choose to work at KI – Ten reasons why

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. Here, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement. Location: Solna