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Leadership for Cancer Informatics Research

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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Leadership for Cancer Informatics Research

This course includes

7 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

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

informatics
cancer research
team management
multidisciplinary collaboration
diversity in research
project planning
mentorship

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

Carrie Wright, PhD
Carrie Wright, PhD

3.9 rating

16 Reviews

3,977 Students

6 Courses

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.

Leadership for Cancer Informatics Research

This course includes

7 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.