Cancer Data Science Course

Are you interested in the field of cancer data science? Whether you’re intending to transform your career with it, or you’re just looking for some perspective, we hope this beginner series can be your roadmap to better understanding this pivotal field.

Watch, read, and review your way through each chapter to learn fundamental information and skills.

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Chapters

Chapter 6: Working in the Cancer Data Science Field

Chapter Description

Do you really need to be a data scientist to do cancer data science? Cancer data science is an interdisciplinary field, and cancer researchers are key players. In this chapter, you’ll explore the different professionals that make up a cancer data science team and how you can better collaborate to leverage the team’s expertise for your research projects.

Start the Course

Required:

Watch our ~6-minute-long video, “5 Tips for Working with a Cancer Data Science Team”

Test your knowledge!

Which of these specialists does not work with data?

Bioinformaticians

Explanation: Bioinformaticians help process, analyze, package, and visualize data.

Oncologists

Explanation: Oncologists help generate and collect data from clinical trials. Even oncologists who are not researching will still use data analysis techniques in their diagnosis and treatment decisions.

Cancer Researchers

Explanation: Cancer researchers are key members of the cancer data science team, helping to generate and collect data from a variety of different studies.

Statisticians

Explanation: Statisticians help design studies, analyze data, and visualize results.

All of these specialists work with data

Explanation: Each of these professionals is part of the cancer data science team, offering unique skill sets to better understand how to prevent, detect, diagnose, and treat cancer.

Correct

Incorrect

Other Related Materials:

It Takes a Village: The Value of Collaboration in Genomic Cancer Studies: Read tips on how to keep all the cancer data science team in the loop when devising new genomics studies.
Leadership for Cancer Informatics Research: Find out how you can create an environment for your informatics research team.
Job Interview Questions for Cancer Data Scientists and How to Answer Them: Find out what questions you may receive if you are applying for a cancer data science position or what you may ask a potential data science collaborator in the hiring process.
For the Love of . . . Data!: Feel the love that NCI and CBIIT staff have for data and its influence on the field of cancer research. Former NCI Director Dr. Ned Sharpless comments on his own personal experience.
Value of Collaboration Among Multi-domain Experts in Analysis of High-throughput Genomics Data. Cancer Research, 2019. | Learn about fostering collaboration among multidisciplinary experts so you can create a comprehensive genomic “pipeline” from lab to patient.

Don't Stop Now!

Continue your learning through these other NCI-funded resources.

Informatics Technology for Cancer Research Training Network
Are you a fellow or intern working at NCI? Check out the Bioinformatics Training and Education Program website for classes, courses, events, and more.

Ready to start your project? Get an overview of the data science lifecycle and what you should do in each stage.
Need answers to data science questions? Visit our Training Guide Library.

Instructor

Subhashini Jagu, Ph.D.

NCI Center for Biomedical Informatics and Information Technology (CBIIT)

Dr. Jagu is a scientific policy and program branch chief as well as supervisory health scientist administrator in the Office of Data Sharing. Her role encompasses the provision of scientific programmatic oversight and expertise, particularly in the realm of NCI data sharing initiatives, with a dedicated emphasis on the Childhood Cancer Data Initiative (CCDI). She takes the lead in formulating policies and guidelines pertaining to data depositions.

Cancer Data Science Course

Chapter 6: Working in the Cancer Data Science Field

Chapter Description

Start the Course

Required:

Test your knowledge!

Other Related Materials:

Don't Stop Now!

Instructor

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