Senior Bioinformatician

M42 Ltd.; Abu Dhabi; On-site; AED 420,000 - 660,000; Full time

Job summary

M42 Ltd. in Abu Dhabi is seeking a Senior Bioinformatician to lead complex genomic analyses on large-scale datasets, including whole genome sequencing.

You will drive methodological innovation, collaborate with clinicians, researchers and bioinformaticians, and contribute to translational research and publications. The role emphasizes independent leadership within a multidisciplinary team, development of robust pipelines, and engagement with translational genomics initiatives in the Emirati

Qualifications

• PhD in Bioinformatics, Genomics, Computational Biology, Biostatistics, Computer Science, or related field.
• Equivalent combination of advanced education and relevant experience may be considered.
• Extensive experience in human genomics, bioinformatics, computational biology, or biomedical data science.
• Proven experience independently leading complex genomic analysis projects.
• Experience with large-scale genomic datasets and whole genome sequencing data.
• Strong publication record preferred.
• Hands-on experience with PLINK, REGENIE, bcftools, VCFtools, or equivalents.
• Knowledge of human genetics, population genomics, variant analysis, and genotype-phenotype relationships.
• Experience with clinical/phenotype/longitudinal datasets is advantageous.
• Knowledge of OMOP, FHIR, EHR-derived phenotypes or healthcare data standards desirable.
• Experience with ML/AI or LLM applications in genomics is an advantage.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Demonstrated ability to work independently within multidisciplinary teams.

Responsibilities

• Lead design and execution of bioinformatics analyses on large-scale human genomic datasets (WGS).
• Perform genomic analyses including variant discovery, genotype-phenotype analysis, population genetics and association studies.
• Analyze and interpret genomic findings in genetics, population structure, and clinical phenotypes.
• Ensure data quality, assumptions, biases, and reproducibility across analyses.
• Integrate genomic, clinical, and phenotype data for translational research.
• Develop and optimize bioinformatics workflows and pipelines.
• Evaluate emerging technologies and introduce innovations to the team.
• Collaborate with diverse teams to achieve cross-functional research goals.
• Contribute to publications, manuscripts, and conference materials.
• Communicate methods, results, risks, and recommendations to stakeholders.
• Ensure compliance with policies, governance, and best practices.
• Support continuous improvement for analytical quality and efficiency.

Skills

Python

R

Communication skills

Stakeholder management

Independent work

Education

PhD in Bioinformatics/Genomics/Computational Biology

Tools

PLINK

REGENIE

bcftools

VCFtools

Job description

Overview

M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to disrupt traditional healthcare models and positively impact lives globally.

The Senior Bioinformatician will join a multidisciplinary genomics and bioinformatics team supporting the Emirati Genome Program (EGP), a national-scale whole genome sequencing initiative. The role is responsible for independently leading complex bioinformatics and human genetics analyses, applying robust analytical methodologies, and introducing innovative tools and approaches that enhance the organization's scientific and technical capabilities. The position contributes to translational research, scientific discovery, and publication activities through the analysis of large-scale genomic and phenotype-linked datasets.

Responsibilities

• Lead the design and execution of bioinformatics analyses on large-scale human genomic datasets, including whole genome sequencing (WGS) data.
• Perform genomic analyses including variant discovery, genotype-phenotype analysis, population genetics, association studies, rare variant analysis, ancestry-aware analysis, and family-based genomic investigations.
• Analyze and interpret genomic findings within the context of human genetics, population structure, clinical phenotypes, and scientific evidence.
• Assess data quality, analytical assumptions, biases, and limitations to ensure scientific rigor and reproducibility.
• Integrate genomic, clinical, and phenotype data to support translational and clinically relevant research.
• Develop, optimize, and implement bioinformatics workflows, pipelines, and analytical methodologies.
• Evaluate emerging technologies, tools, datasets, and analytical approaches and introduce appropriate innovations to enhance team capabilities.
• Collaborate with bioinformaticians, scientists, clinicians, researchers, and technical teams to deliver cross-functional research objectives.
• Contribute to scientific publications, manuscripts, technical reviews, presentations, and conference activities.
• Communicate analytical methods, results, risks, assumptions, and recommendations effectively to technical and non-technical stakeholders.
• Ensure compliance with organizational policies, regulatory requirements, data governance standards, and scientific best practices.
• Support continuous improvement initiatives that enhance analytical quality, operational efficiency, and scientific outcomes.

Qualifications

• PhD in Bioinformatics, Human Genetics, Genomics, Computational Biology, Biostatistics, Computer Science, or a related discipline.
• Equivalent combination of advanced education and relevant experience may be considered.
• Extensive experience in human genomics, bioinformatics, computational biology, or biomedical data science.
• Proven experience independently leading complex genomic analysis projects.
• Experience working with large-scale genomic datasets and whole genome sequencing data.
• Strong scientific publication record preferred.
• Strong proficiency in Python and/or R.
• Hands-on experience with bioinformatics tools such as PLINK, REGENIE, bcftools, VCFtools, or equivalent platforms.
• Strong understanding of human genetics, population genomics, variant analysis, and genotype-phenotype relationships.
• Experience with clinical, phenotype, or longitudinal healthcare datasets is advantageous.
• Knowledge of OMOP, FHIR, EHR-derived phenotypes, or healthcare data standards is desirable.
• Experience with machine learning, artificial intelligence, or large language model applications in genomics is an advantage.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Demonstrated ability to work independently while contributing effectively within multidisciplinary teams.