Patient Cloud – Data Analyst


India - MH, Pune

Requisition ID



The Patient Cloud Data Analyst is a key player in protecting the health of a study from a data perspective. This position possesses a solid clinical data management experience with a focus on applying data analysis to enable ongoing data cleaning activities leading to the on-time delivery of high-quality Clinical outcomes.

  • Support planning and conduct of eCOA clinical studies across the phases (I-IV)
  • Provide solid Data Management support and guidance during decision making and/or issue resolution process
  • Contribute to cross-functional expectations on data quality and data cleaning activities incorporated into the Data Management Quality Plan
  • Adhere to industry data collection and handling standards to ensure consistency and facilitate downstream processing (e.g., QC testing)
  • Design and develop QC checks to support ongoing data cleaning to identify issues/risks in data quality and data cleaning performance
  • Support and maintain strong alliances cross functionally with internal teams
  • Discuss and design project specific technical solutions which support the data management quality plan
  • Continuously improve Data Management service processes and data quality measures
  • Deliver high quality Clean Data
  • Contributes to a transparent benchmarking of Data Management activities within function and study team
  • Initiates the DTS package and contributes to the set-up and testing of the eCRF incl. Edit Checks, data listings, and reports, in close cooperation with study team

Your Competencies: 

  • Industry knowledge of Clinical Trial processes, specifically as they relate to eCOA data collection, Data Management Quality Plans (DMQP), standards, management, and preparation for statistical analysis
  • Experience in study planning and optimization, and knowledge across eCOA clinical development practice areas/technologies as a whole
  • Experience with Data Analysis, and applying critical thinking to solve problems
  • Positive attitude and team player
  • Ability to absorb and apply new information quickly
  • Ability to think logically to solve complex problems
  • Solid analytical and technical skills with regard to software applications
  • Strong collaboration and team-building skills
  • Excellent verbal and written communication skills
  • Strong organizational and time management skills
  • Self-motivated, able to assume responsibility and work autonomously in a professional manner
  • Experience in developing of Standard Operating Procedures
  • Adaptable to changing business needs and/or product landscapes
  • Experience in Medidata RAVE
  • An exposure to data visualization tools and complex data bases would be a plus

Your Education & Experience:

  • Minimum 4-year university/college degree with 3+ years of clinical data analysis experience
  • Experience working with clinical trials, or equivalent combination of education and experience required.
  • Prior services delivery experience required
  • Experience supporting project teams and meeting project timelines
  • Prior data management or clinical trial software consulting experience preferred

Equal Employment Opportunity

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.