Senior Population Genetics Scientist

Responsibilities: 

• Lead and manage research projects on population genetics, including designing and implementing studies, analyzing genetic data, and interpreting results. 

• Conduct advanced data analysis and modeling to investigate genetic variation, population structure, and evolutionary processes. 

• Utilize next-generation sequencing technologies and bioinformatics tools to analyze large-scale genomic data. 

• Collaborate with interdisciplinary teams and external partners to explore the genetic basis of complex traits, disease susceptibility, and adaptation. 

• Stay up-to-date with the latest advancements in population genetics, genomics, and statistical methods, and integrate new knowledge into research activities. 

• Publish research findings in reputable scientific journals and present at conferences and scientific meetings. 

• Provide expert guidance and mentorship to junior scientists and research staff, fostering their professional development and growth. 

• Develop and maintain collaborative relationships with academic institutions, research organizations, and industry partners. 

• Contribute to grant proposal development and secure external funding for research projects. Ensure all research activities comply with ethical guidelines, data privacy regulations, and institutional policies. 

Requirements: 

• Ph.D. in Population Genetics, Genomics, Evolutionary Biology, or a related field. Post-doctoral research experience is highly desirable. 

• Proven track record of successful research in population genetics, demonstrated by publications in reputable scientific journals. 

• Strong expertise in population genetics theory, statistical analysis, and computational tools used in population genetics research. 

• Proficiency in analyzing large-scale genomic data and applying relevant bioinformatics tools and software. 

• Experience with population genetics software packages (e.g., ADMIXTURE, STRUCTURE, PLINK, or similar). 

• Solid knowledge of statistical methods used in population genetics, including population structure analysis, genetic diversity estimation, and selection detection. 

• Excellent analytical and problem-solving skills, with the ability to interpret complex genetic data and generate meaningful insights. 

• Strong leadership abilities, with experience in project management, team supervision, and mentorship. 

• Excellent written and verbal communication skills, with the ability to effectively communicate complex scientific concepts to diverse audiences. 

• Collaborative mindset and the ability to work effectively in multidisciplinary teams.