Overview:

G42 Healthcare is an Abu Dhabi based health technology company active across data and AI, digital health, advanced OMICS, pharma, diagnostics and environmental sciences.

G42 Healthcare has recently merged with the healthcare arm of the Abu Dhabi Sovereign Fund Mubadala (Mubadala Health) creating a unique organisation with over 7,000 staff spanning omics, technology and healthcare provision.

G42 Healthcare is also the facilitator of the 1 million Emirati Genome Program, operating an NGS facility that can deliver over 500,000 whole genome sequences per annum. We have recently launched a regional partnership with Somalogic, establishing the first high-throughput proteomics facility in the Middle East, and also own the local Health Information Exchange called Mallafi.

We are seeking a highly skilled and motivated Genomics Data Product Specialist to join our Real World Data Analytics and Evidence Platform Team. As a Genomics Data Product Specialist, you will play a crucial role in driving the development, enhancement, and success of our platform, with a specific focus on genomics data analysis and insights generation. Working closely with cross-functional teams, including product managers, data scientists, engineers, and domain experts, you will shape the future of our product and deliver innovative solutions to our customers.

G42 Healthcare is committed to developing a world-class healthcare sector in the UAE as well as around the world. We aim to empower healthcare outcomes, clinical operations, and medical R&D by harnessing the power of data & AI to unlock the true potential of personalized and preventive care. Responsibilities:

• Serve as the subject matter expert (SME) for genomics data within the Real World Data Analytics and Evidence Platform Team.
• Collaborate with product managers, data scientists, and engineers to define requirements and prioritize product requirements and roadmap, ensuring alignment with customer needs and business goals in the field of genomics.
• Conduct comprehensive research and analysis of genomics data from various sources, such as next-generation sequencing (NGS) data, to uncover valuable insights and trends.
• Support development of analytical models, algorithms, and data visualization techniques specifically tailored to genomics data, enabling the extraction of meaningful information and providing actionable insights to users.
• Work closely with data scientists and engineers to establish robust data processing pipelines, data integration strategies, and data quality assurance processes for genomics data.
• Stay up-to-date with the latest advancements in genomics data analysis, including data standards, bioinformatics tools, and industry trends, leveraging this knowledge to drive innovation and enhance the product\'s genomics capabilities.
• Engage in user testing, feedback gathering, and iterative design processes to ensure a seamless user experience and continuously improve product features and functionality related to genomics data analysis.
• Provide technical guidance and support to internal teams, customers, and stakeholders regarding genomics data-related inquiries and challenges.
• Foster effective communication between technical and non-technical teams, translating complex genomics concepts and insights into easily understandable terms for stakeholders.

Qualifications:

• Bachelor\'s or Master\'s degree in a relevant field, such as bioinformatics, computational biology, genomics, or a related discipline.
• Proven experience (X years) working with genomics data, preferably in the context of real-world data analytics or evidence generation.
• Strong understanding of genomics data sources, including next-generation sequencing (NGS) data, genetic variant calling, and related data standards (e.g., FASTQ, VCF).
• Proficiency in genomics data analysis techniques, statistical methods, and data visualization tools specifically tailored to genomics data.
• Experience with programming languages such as Python, R, or bioinformatics tools for genomics data manipulation, analysis, and interpretation.
• Familiarity with data integration, data processing, and data quality assurance methodologies for large-scale genomics datasets.
• Knowledge of regulatory requirements and best practices related to the use of genomics data in healthcare research and analysis.
• Excellent problem-solving skills and the ability to think critically and analytically in the field of genomics.
• Strong communication and collaboration skills, with the ability to effectively convey complex genomics ideas to technical and non-technical stakeholders.
• Experience working in an Agile development environment is a plus.
• Prior experience in healthcare or life sciences industries, particularly in genomics research or clinical genomics, is highly desirable.

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