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.

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.

Michael Garcia
New York City, NY | (123) 456-7891 | [email protected]

Seasoned clinical data manager with over 10 years of experience in the pharmaceutical and biotechnology industries. Proven ability to manage complex data sets and lead cross-functional teams to deliver on aggressive timelines. Excels at developing processes that improve data quality and support regulatory compliance.

New York University Jun '10
M.S. in Clinical Research Administration
Binghamton University Jun '06
B.S. in Biology
Company A, Clinical Data Manager Jan '17 – Current
  • Managed the clinical data for a Phase II/III trial of an investigational drug in patients with relapsed or refractory multiple myeloma and led to successful completion of the study on time, within budget, and without any deviations from protocol.
  • Developed a database to track patient enrollment progress by using Microsoft Access and Excel as well as created a web-based application that allowed investigators to view their assigned patients’ information online instead of having to call the clinic daily for updates.
  • Created a dashboard that displayed key metrics such as total number of enrolled patients, percentage complete at each stage of enrollment, average days until first dose, etc., which helped management monitor overall project status in real time.
  • Identified bottlenecks during recruitment process and implemented solutions that increased patient enrollment rate by over 50%.
  • Collaborated with other departments (e.g., Clinical Operations) to develop strategies for improving efficiency and reducing waste throughout all stages of the clinical trials process
Company B, Clinical Data Manager Jan '12 – Dec '16
  • Implemented a new system to track patient data, which improved the accuracy of reports by 95%
  • Ensured that all clinical and research data was entered into the database in a timely manner
  • Managed an electronic medical record (EMR) system for tracking patient information and treatment plans
  • Collaborated with other departments to ensure that patients received proper care throughout their stay
  • Provided training on EMR systems to staff members as needed
Company C, Clinical Research Coordinator Jan '09 – Dec '11
  • Assisted the clinical research team with performing IRB-approved studies and assisted in initiating, conducting, and analyzing data related to drug or medical device trials.
  • Participated in the development of study protocol including timelines for enrollment, follow up, retention, and completion of applicable regulatory requirements.
  • Developed a high level understanding of scientific procedures used during investigation and ensured compliance with regulations governing pharmaceutical research.
  • Certified Clinical Data Manager
  • Certified Professional in Healthcare Information and Management Systems (CPHIMS)
  • Clinical Informatics Professional (CIP)

Industry Knowledge: HIPAA, Medical Terminology, CPT, ICD, EHR, EMR, SOAP, XML
Technical Skills: Microsoft Office Suite, Oracle, SQL
Soft Skills: Time Management, Teamwork, Critical Thinking, Problem Solving, Communication, Leadership

How to Write a Clinical Data Manager Resume

Here’s how to write a clinical data manager resume of your own.

Write Compelling Bullet Points

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).

Identify and Include Relevant Keywords

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 Management
  • Electronic Data Capture (EDC)
  • Oncology Clinical Research
  • Oncology
  • Good Clinical Practice (GCP)
  • CRO Management
  • Clinical Trials
  • Clinical Research
  • Life Sciences
  • Protocol
  • Biotechnology
  • Hospitals
  • Clinical Trial Management System (CTMS)
  • Patient Recruitment
  • Clinical Development
  • Regulatory Submissions
  • Protocol Development
  • Clinical Data Analysis
  • Natural Language Processing (NLP)
  • Inpatient Care
  • Data Management
  • Medical Records
  • Nursing
  • Health Information Technology (HIT)
  • Electronic Medical Record (EMR)
  • Electronic Data Capture (EDC) Implementation
  • Healthcare
  • Microsoft Access
  • Medical Terminology
  • Case Management

Showcase Your Technical Skills

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.


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