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Competencies for bioinformatics core facility scientists: extension of the ISCB competency framework for
Marta Lloret-Llinares1, Patricia Carvajal-López1, Tim Downing2
1EMBL's European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
A new competency framework for bioinformatics core facilities addresses career development gaps. It defines six key skills to help recruit, develop, and retain essential staff in data-driven bioscience.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- The International Society of Computational Biology (ISCB) competency framework sets a minimum standard for bioinformatics professionals.
- Existing frameworks do not address career progression from junior to senior or technical to managerial roles.
- Bioinformatics core facility professionals lack a defined career structure, creating a development vacuum.
Purpose of the Study:
- To extend the ISCB competency framework with specific requirements for bioinformatics core facility professionals.
- To support the recruitment, development, and retention of staff in core bioinformatics facilities.
- To establish a career progression pathway for bioinformatics core facility personnel.
Main Methods:
- Leveraged the experience of the ISCB's BioInfoCore community.
- Built upon existing competency frameworks.
- Defined six new competency requirements tailored for core facility operations and management.
Main Results:
- Six new competency requirements were defined: user needs identification, project management, team management, user engagement, bioinformatics training, and core facility leadership.
- These competencies were mapped to a career progression framework.
- The extended framework addresses the specific needs of bioinformatics core facility staff.
Conclusions:
- The developed framework provides essential competencies for bioinformatics core facility professionals.
- This framework supports career development and retention within core facilities.
- The competencies are crucial for advancing data-driven bioscience through effective bioinformatics support.
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