Research Assistant Professor in Bioinformatics and Population Genetics

United Arab Emirates University; Abu Dhabi Emirate; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading academic institution in the United Arab Emirates is seeking an innovative Assistant Research Professor to engage in cutting-edge research in bioinformatics and population genetics. This role will involve conducting independent studies, developing analysis tools, mentoring students, and publishing findings in high-impact journals. The ideal candidate will hold a Ph.D. and have strong experience in bioinformatics and statistical genetics, contributing to the advancement of genetic engineering methodologies.

Qualifications

• 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.

Responsibilities

• Conduct independent and collaborative research in bioinformatics and population genetics.
• Develop and implement bioinformatic tools and pipelines for genomic data.
• Analyze genetic variation applying statistical methods.

Skills

Bioinformatics analysis

Statistical genetics

Programming languages (R, Python, Perl)

Collaboration in research teams

Research communication

Education

Ph.D. in Bioinformatics, Population Genetics, or related field

Tools

Bioinformatics tools

Job description

Job Description

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.

Minimum Qualifications

• 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.

Experience/Skills

• 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.

Preferred Qualifications

• 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.