Our client is seeking a highly skilled and motivated individual to lead their bioinformatics team as Director of Bioinformatics. In this role, you will be responsible for overseeing the development, implementation, and maintenance of bioinformatics strategies and infrastructure. You will work closely with cross-functional teams, including bioinformatics scientists and data analysts, to ensure the effective utilization of computational tools and resources in the analysis and interpretation of large-scale biological data sets.
Responsibilities:
Lead and manage a team of bioinformaticians, promoting their professional growth, ensuring a collaborative work environment, and driving the timely completion of projects.
Develop and implement bioinformatics strategies, ensuring alignment with organizational goals and scientific objectives.
Oversee the design and implementation of computational pipelines and workflows for the analysis, integration, and interpretation of diverse biological data.
Collaborate with research scientists and data analysts to identify computational needs, translate scientific questions into analytical workflows, and provide guidance for data processing, quality control, and statistical analysis.
Foster innovation by staying abreast of emerging bioinformatics tools, techniques, and best practices, and strategically incorporating them into the bioinformatics framework.
Ensure the timely delivery of high-quality bioinformatics results by implementing rigorous quality control and validation procedures.
Qualifications:
Ph.D. in Bioinformatics, Computational Biology, or a related field. (A master's degree with extensive relevant experience may be considered).
Proven experience in leading and managing a bioinformatics team, including strong interpersonal and leadership skills.
Extensive knowledge of bioinformatics methodologies, algorithms, and tools commonly used in the analysis of biological data sets.
Proficiency in at least one programming language (e.g., Python) and experience with relevant scripting languages and statistical tools.
Strong understanding of genomics, molecular biology, and related fields, with the ability to translate complex biological questions into computational approaches.
Experience with high-throughput data analysis (e.g., next-generation sequencing) and familiarity with relevant bioinformatics databases and resources.
Demonstrated expertise in the design and implementation of computational pipelines for data analysis, integration, and visualization.