Clinical Trials Data Anonymization Analyst (R1012234) in Ottawa, CA at IQVIA™

Date Posted: 6/20/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Ottawa, CA
  • Job Type:
    Production
  • Experience:
    Not Specified
  • Date Posted:
    6/20/2018
  • Job ID:
    R1012234

Job Description

Clinical Trials Data Anonymization Analyst


This position is with IQVIA’s Privacy Analytics team in Ottawa, Canada. For more information about Privacy Analytics, please visit us at https://privacy-analytics.com


Our Professional Services team is growing. We’re hiring Clinical Trials Data Anonymization Analysts to support an expanding line of business. In this role you’ll be end-to-end responsible for client anonymization projects. Using our tools you will analyze and mitigate the risk of re-identification for trial participants whose data appears in clinical trials documentation. As an ideal candidate you learn quickly and can produce extremely accurate, precise work within tight timelines. You’re familiar with medical or scientific language, and your excellent communication skills are complemented by strong technical acumen and the ability to meet tight deadlines.


We are primarily looking to hire full-time. However, under the right circumstance we could accommodate contract or part-time arrangements, with possibility of establishing flexible working schedule based on client demands.


Responsibilities:

  • Develop familiarity with our de-identification methodology.
  • Own assigned projects or project tasks and deliver such on time and with the required quality, providing timely and transparent status updates and managing client expectations.
  • Configure our in-house software tools, to process clients’ clinical trials documents and data.
  • Core responsibilities include:
    • Pre-processing documents, analyzing lengthy, technical / medical documents (Clinical Study Reports) against established standards, including noting sections which may or may not be clearly identified, checking the quality of automated document processing steps and manually securing patient and commercial information where required
      and / or:
    • Pre-processing datasets (importing from client formats, converting data as required), analyzing complex and complicated statistical clinical trial data structures, transforming data using SAS scripts and SQL.
  • Identify and classify direct and indirect identifiers, measure and mitigate re-identification risk, determine and apply required transformations.
  • Facilitate the creation of anonymization reports and other client deliverables.
  • Collaborate closely with other team members, ensuring that all work meets established quality standards and is completed on time. Participate in peer-reviews of work products.
  • Identify and communicate tool enhancements/refinements and relate defect documentation to developers and researchers.

Qualifications:

  • Ability to understand policy documents and apply this understanding in a variety of contexts; an educational background in health sciences may be beneficial.
  • Ability to learn our methodology and develop a thorough understanding of how directly and indirectly identifying information contributes to the risk of re-identification. This is generally demonstrated through experience and comfort with scientific and quantitative disciplines for example, clinical research, STEM fields, etc.
  • Exceptional detail-orientation.
  • Well-developed communication and interpersonal skills.
  • The drive to meet exacting deadlines and the flexibility to adapt to shifting priorities.
  • Ability to manage sensitive information with the utmost confidentiality.
  • Medical writing and/or clinical trials experience is an asset.
  • Familiarity with ICH guidelines for clinical trial documents and EMA Policy 0070 are valuable assets.
  • Experience with Adobe PDF and MS Office products (Excel, Word, and PowerPoint) required.
  • 1-2 years working experience with SQL (MS SQL server), SAS, R, and statistical analysis of clinical or healthcare data would be a great asset, but are not a requirement for all positions.
  • Experience configuring and working with Natural Language Processing (NLP) tools would be a great asset, but are not a requirement for all positions.

To apply:

Please send your resume to careers@privacy-analytics.com.
We thank all applicants for their interest; however, only those selected for an interview will be contacted.


Privacy Analytics is an equal opportunity employer and accommodates people with disabilities throughout the recruitment and selection process.


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Job ID: R1012234