Job details
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. 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.
- 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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Hiring company
G42
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