Genetic Research Manager

About Us

We are a research-driven entity dedicated to progressing genetics, genomics, and life-sciences research through careful scientific inquiry and ethical innovation. Our teams span genetics, genomics, molecular biology, bioinformatics, clinical research, data science, laboratory operations, regulatory affairs, ethics, and executive leadership, working together to convert scientific findings into impactful research and applications.

Role Overview

The Genetic Research Manager will oversee genetics and genomics research projects, scientific strategy, laboratory operations, genomic data analyses, and lead cross-disciplinary research teams. The role involves managing research design, experimentation, data processing, collaboration with scientific partners, and ensuring research adheres to high scientific, ethical, and regulatory standards.

Key Responsibilities

• Create and execute genetic research plans, portfolios, and priorities aligned with the organization's goals.
• Lead projects involving genetics, genomics, molecular biology, population genetics, gene sequencing, and related fields.
• Design and supervise research studies, lab protocols, genomic analyses, sample workflows, and validation.
• Collaborate with experts in genetics, molecular biology, bioinformatics, computation, clinical research, labs, regulatory, ethics, and leadership.
• Develop research methods, standards for experimentation, quality assurance, data governance, reproducibility, and documentation.
• Manage sequencing initiatives including NGS, WGS, WES, RNA seq, genotyping, and molecular techniques.
• Oversee management of biological samples, laboratory systems, sample tracking, biobanking, and data quality controls.
• Lead bioinformatics projects covering variant analysis, genomic annotation, population data, gene expression, and statistical genetics.
• Build partnerships with academic institutions, research centers, hospitals, biotech, pharma, labs, tech providers, and collaborators.
• Ensure compliance with UAE laws, institutional policies, ethics standards, human protections, data privacy, biosafety, and international research guidelines.
• Track performance metrics including research milestones, data quality, reproducibility, publications, grant progress, study completions, scientific impact, collaborations, and portfolio progress.
• Conduct reviews of research, quality assessments, literature, methods, data audits, reproducibility evaluations, and continuous improvements.
• Manage budgets, lab resources, sequencing services, scientific equipment, personnel, external labs, grants, technology platforms, and research partnerships.
• Drive digital transformation using AI-assisted genomic analysis, machine learning, automated variant interpretation, predictive modeling, high-performance computing, genomic platforms, and bioinformatics workflows.
• Utilize Illumina, Thermo Fisher, BGI platforms, Benchling, Galaxy, Bioconductor, R, Python, MATLAB, AWS, Azure, Google Cloud, LIMS, databases, and bioinformatics tools.
• Prepare scientific reports, publications, grant proposals, executive summaries, genomic analyses, portfolio reviews, presentations, and strategic recommendations.
• Lead and mentor multidisciplinary research teams promoting scientific integrity, collaboration, innovation, reproducibility, and ongoing improvement.

Candidate Requirements

• Bachelor’s degree in genetics, genomics, molecular biology, biotechnology, biochemistry, biology, biomedical science, bioinformatics, or related life sciences.
• Advanced degrees (Master’s or Ph.D.) in genetics, genomics, molecular biology, bioinformatics, biotechnology, or biomedical science are highly favored.
• Professional certifications, research credentials, lab qualifications, or memberships in recognized scientific organizations are preferred.
• At least 5 years of experience in genetic research, genomics, molecular biology, biotechnology, bioinformatics, or biomedical research.
• Minimum 2 years of leadership experience managing genetics research programs, teams, genomics projects, or multidisciplinary research efforts is an asset.
• Deep knowledge of genetics, genomics, molecular biology, sequencing technologies, bioinformatics, genetic variation, experimental design, statistics, research methodology, and data management.
• Experience with Illumina sequencing, Thermo Fisher tech, Benchling, Galaxy, Bioconductor, R, Python, MATLAB, cloud computing (AWS, Azure, Google Cloud), LIMS, genomic databases, and bioinformatics workflows.
• Familiarity with AI-driven genomics, machine learning, automated variant interpretation, precision medicine, single-cell genomics, multi-omics, high-throughput sequencing, and advanced computational biology is advantageous.
• Excellent leadership, communication, analytical, research and project management, stakeholder engagement, grant handling, organizational, and problem-solving abilities.
• Capability to simultaneously manage multiple research projects while ensuring scientific rigor, ethics, data privacy, lab resources, timelines, funding, regulations, and organizational priorities.
• Effective remote collaboration with distributed scientists, labs, universities, biotech companies, clinical researchers, technology partners, and global collaborators; willingness to travel occasionally for lab work, conferences, meetings, visits, and planning.

What We Provide

• Fully remote work setup with flexible coordination within global genetics, genomics, biotech, research, and data science teams.
• Competitive salary with incentives linked to performance.
• Comprehensive health and wellness benefits.
• Professional growth and leadership development in scientific research.
• Exposure to AI-based genomics, cutting-edge sequencing, computational biology, multi-omics, precision medicine technology, and next-gen life sciences.
• Collaborative culture promoting scientific excellence, ethical research principles, innovation, reproducibility, and continuous improvement.
• Chances to lead impactful genetic and genomic research projects producing high-quality science and responsible innovation in life sciences.