Scientist - Casablanca

The UM6P Corelab is hiring a scientist for the Biosciences CoreLab. The UM6P CoreLab is a research-support entity aiming to facilitate access to a wide range of cutting-edge technologies, expertise, and services offered to UM6P researchers and collaborators at the national and continental levels.Position SummaryWe are seeking a highly motivated and independent Scientist in Population Genomics to contribute to various genomic development projects and large-scale population genomics initiatives. The successful candidate will play a central role in the design, analysis, and interpretation of population-scale genomic datasets. This position is ideal for a scientist passionate about leveraging whole-genome sequencing (WGS), multi-omics integration, and advanced bioinformatic tools.Primary Duties & Responsibilities:Population Genomics Research Lead analysis of large datasets for innovative findings in population genomics. Perform population structure analysis, ancestry inference, admixture analysis, and genetic diversity assessments. Contribute to the development of the national genomic reference datasets. Bioinformatics & Data Integration Develop and optimize pipelines for variant calling, annotation, QC, and downstream analyses. Integrate genomic data with phenotypic datasets. Apply statistical genetics methods. Capacity Building & Infrastructure Development Contribute to building a sustainable genomic analysis infrastructure. Mentor junior scientists, students, and technical staff. Participate in grant writing, manuscript preparation, and international collaborations. Support ethical, legal, and social frameworks for genomic research and data sovereignty.
Required Qualifications PhD in Genomics, Human Genetics, Population Genetics, Bioinformatics, Computational Biology, or related field. Minimum two years experience in the field of population genomics. Demonstrated experience analyzing large-scale genomic datasets (WGS, experience in WES analysis and interpretation is desirable). Strong expertise in statistical and population genomics methodologies. Proficiency in bioinformatic analysis. Experience with genomic tools. Strong publication record in peer-reviewed journals. Scientific rigor and analytical thinking Ability to manage large, complex datasets Interdisciplinary collaboration (clinicians, statisticians, bioinformaticians) Commitment to ethical genomic research and data governance Familiarity with national genomic initiatives or large biobank-scale projects. Experience with high-performance computing (HPC) environments. Grant writing experience and ability to secure research funding. If you possess the necessary qualifications and are excited about contributing to a cutting-edge platform in genomics and genotyping, and being part of a dynamic and innovative team, we encourage you to apply.Please submit your application, including your resume and a cover letter detailing your relevant experience.