Clinical Data Manager Resume Example & Writing Guide
Use this Clinical Data Manager resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Use this Clinical Data Manager resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Clinical data managers are responsible for managing the flow of data within a clinical trial. They’re the ones who ensure that all of the information gathered from participants is organized, secure, and accessible to researchers and other stakeholders.
If you’re interested in pursuing a career in clinical data management or want to take your current role to the next level, it’s important to have a solid resume that showcases your skills, experience, and dedication to the field. Here are some tips and an example to help you write yours.
Here’s how to write a clinical data manager resume of your own.
The best way to make your resume stand out is to use specific examples and numbers. So rather than saying you “managed clinical data,” you could say you “managed clinical data for 20+ clinical trials for leading biopharma company, resulting in a 20% increase in data quality in six months.”
The second bullet point is much stronger because it provides specific details about what you did and the results of your work. It also includes a quantifiable result (20% increase in data quality).
When you apply for a clinical data manager role, your resume will likely be scanned by an applicant tracking system (ATS) for certain keywords. This system looks for terms related to the job, like “data analysis” and “clinical research” in order to determine whether your skills are a match for the job. If you’re not sure which keywords to use, check the job posting to see which terms are most prevalent. Then, add them to your resume where they’re most relevant.
Here are some commonly used clinical data manager keywords:
Clinical data managers are responsible for managing and analyzing data from clinical studies. They use a variety of software programs and systems to do this, so it’s important to list all of the relevant programs and platforms that you are familiar with. Some of the most commonly used programs are SPSS, SAS, and STATA, and managers also need to be familiar with clinical study design and data management principles.