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MASCO Code
1511-09
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Bioinformatics Manager oversees the collection, management, and analysis of biological and biochemical data using computational tools. They lead bioinformatics teams, develop databases and algorithms, and implement data analysis pipelines to interpret complex biological information. The role involves strategic planning, project management, cross-department collaboration, and translating scientific data into actionable insights for research and clinical applications, while ensuring compliance with regulatory standards.
Tasks
Lead and manage bioinformatics teams in the development of analytical tools and data pipelines.
Collaborate with scientists and clinicians to support the interpretation of biological and clinical data.
Ensure data integrity, quality, and governance for clinical and research datasets.
Investigate data inconsistencies and oversee the implementation of technical solutions.
Oversee the development and maintenance of software systems and databases for genomic data analysis.
Manage bioinformatics projects to meet quality standards, budgets, and timelines.
Ensure compliance with relevant regulatory and data governance standards, including clinical and research requirements.
Present analytical findings and reports to stakeholders and support scientific outputs.
Skills
Basic
Analytical and problem-solving skills to interpret complex biological and data-driven information.
Attention to detail and organisational skills to ensure accuracy and effective project coordination.
Clear communication and interpersonal skills to work with technical specialists and stakeholders.
Critical thinking and adaptability to keep pace with rapidly evolving bioinformatics technologies.
Strong leadership and team management skills to lead multidisciplinary teams.
Specific
Knowledge of bioinformatics tools such as Genome Analysis Toolkit (GATK), SAMtools, and Burrows-Wheeler Aligner (BWA).
Knowledge of biological databases, including Ensembl, dbSNP, and ClinVar.
Knowledge of cloud computing platforms and high-performance computing environments for data processing.
Knowledge of database design, data migration, and database administration.
Knowledge of machine learning algorithms and statistical models applied to biological data analysis.
Knowledge of programming languages, including Python, R, and Perl, for bioinformatics applications.
Additional Info
QUALIFICATION
Bachelor’s degree or equivalent
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