Research Assistant Professor in Bioinformatics and Population Genetics

The Khalifa Center for Genetic Engineering and Biotechnology is seeking a highly motivated and innovative Assistant Research Professor in Bioinformatics and Population Genetics. The successful candidate will contribute to cutting-edge research in genetic engineering, focusing on population genetics, evolutionary biology, and bioinformatics methodologies.

– Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. – Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. – Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. – Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. – Excellent communication skills, with a track record of publishing research and presenting findings. – Ability to work collaboratively in a multidisciplinary research environment. – Experience in mentoring students or junior researchers is preferred.

– Ph.D. in Bioinformatics, Population Genetics, Genomics, or a related field. – Proven experience in bioinformatics analysis, particularly in population genetics or evolutionary studies. – Proficiency in programming languages such as R, Python, or Perl, and familiarity with bioinformatics tools and databases. – Strong understanding of statistical genetics, evolutionary theory, and relevant methodologies. – Excellent communication skills, with a track record of publishing research and presenting findings. – Ability to work collaboratively in a multidisciplinary research environment. – Experience in mentoring students or junior researchers is preferred.

– Key Responsibilities: – Conduct independent and collaborative research in bioinformatics and population genetics, contributing to the center’s strategic research goals. – Develop and implement bioinformatic tools and pipelines for analyzing genomic data, including next-generation sequencing (NGS) data. – Analyze genetic variation within and between populations, applying statistical methods to interpret population structure, gene flow, and evolutionary dynamics. The candidate must very well verse on genome structure including transposons. – Collaborate with interdisciplinary teams to integrate bioinformatics with experimental research in genetics and biotechnology. – Mentor graduate students and junior researchers, providing guidance in research methodologies, data analysis, and scientific writing. – Publish research findings in high-impact peer-reviewed journals and present at national and international conferences. – Seek external funding through grant proposals to support research initiatives and laboratory projects. – Participate in the development of educational materials and teaching opportunities related to bioinformatics and population genetics.

Interested candidates should submit the following documents:1. A cover letter detailing research interests and experience.2. A current curriculum v

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