Research Associate – Statistical Genetics & Bioinformatics

About the role

Working in the laboratory of Professor Adil Harroud, the Research Associate will lead statistical genetics and bioinformatics analyses of large‑scale genetic, proteomic and clinical datasets related to multiple sclerosis and other neurological diseases, ensuring successful project completion.

Key responsibilities

• Plan and lead new statistical genetics and bioinformatics projects, including grant writing and manuscript preparation.
• Develop and maintain analysis pipelines for genome‑wide association studies, polygenic scores, Mendelian randomization, and integration of genetic, proteomic and transcriptomic data.
• Analyze genotyping array, whole‑genome sequencing and proteomic data on high‑performance computing clusters.
• Collaborate with multidisciplinary teams and provide guidance to students and research staff on analysis methods.
• Ensure data management, documentation and reproducibility in line with data access agreements.

Required profile

• PhD in human genetics, bioinformatics, biostatistics or a related field.
• At least three years of relevant research experience and a strong publication record in internationally recognized journals.

Required skills

• Proficiency in R and Python programming.
• Experience with bash scripting, git version control and high‑performance computing environments.