Learn to lead multidisciplinary teams in cancer informatics, focusing on management and diversity in research.
Learn to lead multidisciplinary teams in cancer informatics, focusing on management and diversity in research.
This course equips research leaders with skills to effectively manage multidisciplinary teams in cancer informatics. It covers team leadership, project management, collaboration techniques, and strategies to promote diversity and inclusion. The curriculum addresses challenges in communication, project planning, and team support specific to informatics research. Participants will learn best practices for conducting informatics projects, supporting team members, and utilizing management tools to enhance research outcomes.
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Instructors:
English
What you'll learn
Develop management practices to support a multidisciplinary informatics research team
Learn strategies to promote diversity, inclusion, and equity in academia, clinical trials, and cancer research
Master tools and methods to perform informatics work effectively with a multidisciplinary team
Understand how to form good informatics questions and plan projects to avoid common pitfalls
Gain skills in supporting informatics collaborators, mentees, and employees
Learn about specific tools that can enhance informatics research and team management
Skills you'll gain
This course includes:
5.5 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course focuses on developing leadership skills for managing multidisciplinary teams in cancer informatics research. It addresses the unique challenges of leading teams with diverse backgrounds and research goals. The curriculum covers effective communication strategies, project planning, and team support techniques specific to informatics projects. Participants will learn how to create an inclusive work environment, promote diversity in research and clinical trials, and utilize tools for efficient lab management. The course emphasizes best practices for conducting informatics research, including forming good research questions and mitigating common project pitfalls. It also covers strategies for supporting collaborators, mentees, and employees in the field of cancer informatics.
Welcome
Module 1 · 54 Minutes to complete
Guidelines for multidisciplinary informatics teams
Module 2 · 1 Hours to complete
Informatics project guidelines
Module 3 · 1 Hours to complete
Informatics relationships
Module 4 · 1 Hours to complete
Promoting diversity, inclusion, and equity
Module 5 · 2 Hours to complete
Informatics lab management tools
Module 6 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Pioneering Data Science Education and Computational Biology Innovation
Carrie Wright, PhD, serves as a Senior Staff Scientist at Fred Hutchinson Cancer Center and holds an affiliated faculty position at Johns Hopkins Bloomberg School of Public Health, where she focuses on making data science and computational biology more accessible to diverse audiences. Her expertise spans multiple domains, teaching courses including "AI for Decision Makers," "AI for Efficient Programming," "Avoiding AI Harm," "Best Practices for Ethical Data Handling," "Data Management and Sharing for NIH Proposals," and "Write Smarter with Overleaf and LaTeX." Her distinguished career includes significant contributions as a former Assistant Scientist in Biostatistics at Johns Hopkins and postdoctoral research at the Lieber Institute for Brain Development, where she studied genetic mechanisms in psychiatric disease. As a member of the Open Case Studies team, the Genomic Data Science Community Network, and chair of the ITCR OPEN Group, she demonstrates her commitment to advancing science, medicine, and social justice through accessible data science education. Her innovative work includes co-founding the LIBD rstats club and teaching at various institutions, including the Baltimore Underground Science Space and Johns Hopkins Center for Talented Youth.
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Frequently asked questions
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