Clinical Data Management

On successful completion of this program, you will be certified and will have acquired knowledge, skills and competencies to start at an entry level role as Clinical Data Manager or similar.

WE TRAIN AND CERTIFY YOU

 Successfully complete the 4 competency modules below to obtain your VIARES Clinical Data Management Certificate.
  • Identify concepts in ethical reasoning which may influence our analysis & results from data.
  • Understand the process of data curation, & the custodial duty of data science. Learn some essential tools used by data scientists.
  • Investigate & manipulate data to learn its metadata, shape & robustness.
  • Identify an appropriate chart & present data to illustrate its core characteristics.
  • Recognise the importance & process for applying concepts of privacy & anonymity.
  • Integrate methods for metadata & archival into data management.
  • Investigate data distribution & confidence, & reshape using Pandas.
  • Illustrate core analysis with histograms & box plots.
  • Determine implications in collection, mining & recombination of open- & digital data.
  • Employ methods for presenting data for synthesis & usage, & employing methods for data maintenance.
  • Perform techniques in randomness & probability to understand distribution & likelihood.
  • Apply histograms, line charts & scatter plots to illustrate probability.
  • Acknowledge the privacy & confidentiality issues in data storage & security of personal data.
  • Recognise responsibilities & mechanisms for securing data-at-rest & data-in-motion.
  • Apply linear & continuous sampling methods to assess normal distributions.
  • Plot distributions as normal histograms & continuous curves.

The VIARES Certification is an online exam that covers questions from the related VIARES training course. You need to complete the exam within 90 minutes and achieve at least 80% of all points to be graded positive. You have two attempts, of which the attempt with the higher score is applied for your certification.

Requirements

This program will be of benefit to anyone with a life science degree and/or first relevant work experience, ideally in clinical research, pharma or related areas, e.g. working with patients, medical products or services, medical technology, laboratories or similar.

If you are not sure if this is the right training for you, we are happy to help you make the right decision. Email us at academy@viares.com and we will contact you.

WHY BECOME A Clinical Data Manager?

There are several reasons why someone might consider a career as a clinical data manager:

  • Important role in the development of new treatments: Clinical data managers play a critical role in the development of new treatments by managing the data generated from clinical trials. They ensure that the data collected is accurate, complete, and consistent, which is necessary for regulatory approval of new treatments.
  • High demand for skilled professionals: The demand for clinical data managers is expected to grow in the coming years as the number of clinical trials conducted worldwide continues to increase. Skilled professionals in this field are in high demand, and this trend is likely to continue.
  • Competitive salary: Clinical data management is a specialized field, and as such, it commands a competitive salary. The salary of a clinical data manager can vary depending on several factors, such as location, experience, industry, and employer. However, according to data from salary comparison websites like Glassdoor and PayScale, the average salary for a clinical data manager in the United States is around $90,000 to $100,000 per year.
  • Opportunities for career advancement: Clinical data management is a growing field, which means there are opportunities for career advancement. With experience and additional training, clinical data managers can progress to senior-level positions, such as director of clinical data management or vice president of clinical operations.
  • Opportunity to contribute to public health: Clinical data managers have the opportunity to contribute to public health by ensuring that clinical trials are conducted ethically and that the data generated is of the highest quality. This work helps to ensure that safe and effective treatments are available to patients who need them.

 

Overall, becoming a clinical data manager can be a rewarding and challenging career that offers the opportunity to make a meaningful contribution to public health while also enjoying competitive compensation and opportunities for career advancement.

WHAT ARE TYPICAL RESPONSIBILITIES OF A Clinical Data Manager?

The typical responsibilities of a clinical data manager can vary depending on the specific company, organization, or project. However, some of the most common responsibilities of a clinical data manager include:

  • Designing and implementing clinical data management plans: Clinical data managers are responsible for designing and implementing data management plans for clinical trials or other research studies. This includes developing protocols, designing data capture forms, and developing data validation checks.
  • Ensuring data quality and integrity: Clinical data managers are responsible for ensuring that the data collected during clinical trials is accurate, complete, and consistent. They perform data cleaning, query resolution, and quality control activities to ensure the data is of high quality and integrity.
  • Managing data collection and storage: Clinical data managers oversee the collection, storage, and transfer of data throughout the course of a clinical trial. They may use various tools and technologies to manage data, such as electronic data capture systems, case report forms, and data management software.
  • Conducting data analysis and reporting: Clinical data managers analyze and interpret clinical trial data, preparing reports and presenting findings to various stakeholders. They also collaborate with statisticians and other data analysts to develop statistical analysis plans and perform statistical analyses.
  • Ensuring compliance with regulatory requirements: Clinical data managers ensure that clinical trials are conducted in compliance with applicable regulatory requirements, such as Good Clinical Practice (GCP) guidelines and data protection regulations.
  • Managing study timelines and budgets: Clinical data managers are responsible for managing timelines and budgets for data management activities within a clinical trial or research project. They collaborate with project managers and other stakeholders to ensure that data management activities are completed on time and within budget.

 

Overall, clinical data managers play a critical role in ensuring the accuracy, integrity, and quality of data generated in clinical trials and other research studies. They work closely with cross-functional teams to ensure that data management activities are completed in a timely and efficient manner, while complying with regulatory requirements and ensuring patient safety.

IS THIS THE BEST OPTION FOR ME?

To become a clinical data manager, you typically need a combination of education and experience in the healthcare, life sciences, or information technology fields. Here are some of the common backgrounds and qualifications for clinical data managers:

  • Education: A bachelor’s or advanced degree in a relevant field, such as health informatics, life sciences, data management, or computer science, is typically required. Many clinical data managers also have a graduate degree, such as a Master’s or Ph.D., in a related field.
  • Experience: Clinical data managers typically have several years of experience working in clinical research, data management, or a related field. 
  • Technical skills: Clinical data managers should have a strong understanding of data management principles, database design, and data analysis. They should also have experience working with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and data management software.
  • Knowledge of regulatory requirements: Clinical data managers should have a solid understanding of regulatory requirements for clinical research, including Good Clinical Practice (GCP) guidelines, International Council for Harmonisation (ICH) guidelines, and data protection regulations.
  • Soft skills: Clinical data managers should have strong communication, problem-solving, and project management skills. They should be able to work collaboratively with cross-functional teams, manage timelines and budgets, and handle multiple priorities.

 

Overall, a combination of education, experience, technical skills, regulatory knowledge, and soft skills is essential to become a successful clinical data manager.

WHY GET A CERTIFICATION?

Getting a clinical data management certificate can provide several benefits, including:

  • Enhancing your knowledge and skills: A clinical data management certificate program can provide you with in-depth knowledge and practical skills in data management, clinical research, and regulatory compliance. This can help you stay up-to-date with the latest trends, technologies, and best practices in the field, and enhance your marketability as a clinical data manager.
  • Advancing your career: A clinical data management certificate can demonstrate to employers that you have the knowledge, skills, and credentials required to manage clinical data effectively. This can increase your chances of getting hired for a clinical data management role, and help you advance your career to higher-level positions.
  • Increasing your earning potential: Clinical data management certificates can increase your earning potential by demonstrating that you have the skills and credentials required to effectively manage clinical data.

 

Overall, obtaining a clinical data management certificate can provide you with the knowledge, skills, and credentials required to excel in the field of clinical data management. It can help you advance your career, meet regulatory requirements, build valuable connections, and increase your earning potential.

NEW JOBS POSTED TODAY

This is a snapshot of the latest new entries from our full list of global clinical research jobs. Our list is updated and curated for you daily, adding hundreds of new jobs. Get full access with a VIARES account.

Position – click to go to jobCompanyLocationDate CreatedSourceTitleId (key)
Position – click to go to jobCompanyLocationDate CreatedSourceTitleId (key)

Description

A Flexible Online Setup

Our setup enables you to complete this program either next to a full-time job or in a focused effort. 100% of the program is online and most of the training courses can be completed at any time.

Get Certified & Job Ready

On successful completion of this program, you will be certified and will have acquired knowledge, skills and competencies to start at an entry level role as Clinical Research Data Science, like Clinical Data Analyst, Clinical Data Coordinator, or similar.

The VIARES Clinical Research Data Management program is more than just a training. It’s a life-changer!

Certificates:

  • VIARES

 

Life-time payment plan includes:

  • all benefits from the monthly payment plan with only one payment
  • PLUS – unlimited life-time access to your training course
  • PLUS – free access to simulations
 

Monthly payment plan includes:

  • registration fee
  • all online-training course material
  • online access to our learning management system
  • mini-exams during the training to test your knowledge
  • VIARES exam – 2 attempts included
  • personalized certificate upon completion
  • join career events at no cost
  • free access to our weekly updated global job list
  • apply to exclusive job offers
  • get your personal career coaching
  • any time free cancellation of monthly payment

Your expert instructors

Hear from our graduates

Zdravko

Zdravko

I’m glad to share that I was part of VIARES Clinical Research Talent Program. VIARES CRTP is well balanced which gives you new skills and opportunity to be part of the huge CRA’s family. The program contains well-organized micro – courses,

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webinars which are prepared by true professionals. Thank you for that scientific journey.

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Kwasi

Kwasi

After my master’s degree graduation, I had been applying for clinical research jobs in Germany without being shortlisted. I got my first job interview three weeks after starting the VIARES CRA course and adding the skills learnt so far to my resume.

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The convenience of weekend online classes and affordable program cost was very helpful.

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Clinical Data Management
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      Gavin Chait is a Data Scientist at Whythawk, which specializes in integrated open data consulting, and training for open knowledge, freedom of information, and economic development projects. He spent more than a decade in economic and development initiatives in South Africa. He was a commercial director at the Open Knowledge Foundation, and led the implementation of numerous open data projects around the world. Gavin has twenty years of experience in teaching at all academic levels, and is a passionate advocate for knowledge development through open access to data and freedom of information.

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