Clinical Data Analyst

Writing a great clinical data analyst resume is important because it is one of the first things a potential employer will see when they are considering you for a position. It is your opportunity to make a good first impression and sell yourself as the best candidate for the job.

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If you're looking for inspiration when it comes to drafting your own clinical data analyst resume, look no further than the samples below. These resumes will help you highlight your experience and qualifications in the most effective way possible, giving you the best chance of landing the clinical data analyst job you're after.

Resume samples

Juel Boulis | (365) 518-8009 | Honolulu, HI


I have over 4 years of experience as a Clinical Data Analyst. I have worked with Electronic Health Records (EHRs), and have been responsible for data entry, quality control, and analysis. I am proficient in statistical software programs (SAS, R, STATA) and database management systems (SQL). I am able to take complex clinical data and turn it into actionable insights that can improve patient care.


Clinical Data Analyst at Hawaii Pacific Health, HIMar 2022 - Present

  • Led the clinical data analysis for a new diabetes medication that was approved by the FDA, resulting in $100 million in sales within the first year.
  • Conducted extensive analyses of patient data to identify trends and improve treatment outcomes.
  • Created a database of all clinical trial information for a major pharmaceutical company, which resulted in more efficient and accurate data management.
  • Presented findings at national conferences on several occasions, sharing best practices with other analysts.

Clinical Data Analyst II at Castle Medical Center, HIAug 2018 - Jan 2022

  • Led the development of data analysis plans for 4 clinical studies with over 2,000 subjects.
  • Authored 12 scientific reports detailing study results and implications.
  • Trained 3 new analysts on company research process and software tools.
  • Presented findings at 5 national conferences.
  • Developed custom data visualization tool used by entire department.


Bachelor of Science in Health Information Management at University of Hawaii at Manoa, HISep 2014 - May 2018

I have learned how to manage and organize health information using different software and tools.


  • SQL
  • R
  • Python
  • SAS
  • SPSS

Ragene Lachowicz | (713) 299-0094 | Wichita, KS


I am a Clinical Data Analyst with over 4 years of experience. I have worked extensively with clinical data and have a strong understanding of how to analyze it effectively. I am skilled in using statistical software packages, such as R and SAS, to perform my analyses. I have also developed many custom scripts to streamline my workflow. In addition to being an expert analyst, I am also excellent at communicating complex results to non-technical audiences.


Clinical Data Analyst at Quest Diagnostics, KSJun 2022 - Present

  • Conducted data analysis on a clinical study with 300 participants.
  • Created Excel macros to streamline data entry and analysis process.
  • Analyzed patient data to identify trends in disease progression.
  • Presented findings to the research team and helped develop new hypotheses.
  • Wrote statistical methods section for 2 peer-reviewed journal articles.
  • Trained 3 new analysts on company's proprietary software.

Clinical Data Analyst II at LabCorp, KSAug 2018 - May 2022

  • Led a team of 5 analysts in developing and implementing new data analysis processes that increased efficiency by 30%.
  • Was responsible for analyzing clinical data from 10 different studies with over 100,000 participants.
  • Wrote SQL queries to extract data from relational databases for further analysis.
  • Utilized Excel to create pivot tables and charts to present findings to clients.
  • Conducted statistical analyses using SAS programming language to support primary research goals.


Bachelor of Science in Health Information Management at Wichita State UniversityAug 2014 - May 2018

I have learned how to manage and analyze health information to help improve patient care.


  • SQL
  • R
  • SAS
  • Python
  • Tableau
  • Microsoft Excel