IQVIA
Scientifique des données associé, confidentialité et désidentification/ Associate Data Scientist, Privacy and
Ottawa, Ontario, Canada · Part-time
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About the role
- The ability to gain information from various sources and apply them to new problems is important for success and growth within this role.
- IQVIA se consacre à accélérer le développement et la commercialisation de traitements médicaux innovants pour aider à améliorer les résultats des patients et la santé de la population dans le monde entier.
Responsibilities
- Develop expertise in statistical disclosure control and de-identification regulations and standards
- Validate data received from clients and prepare it for re-identification risk measurement
- Help prepare materials (presentations, reports, etc.) in support of delivery of data de-identification solutions to technical and business audiences
- workday_recruiting@iqvia.com, so that IQVIA can support your participation in the recruitment process.
- IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
Requirements
- 1 year of relevant work experience
- Experience performing data analysis, data exploration and data modeling (using SQL and R/Python)
- Knowledge of Privacy Analytics methodology
- Experience anonymizing data and preparing data for anonymization
- Experience supporting and tracking of multiple projects at various stages of development
- Ability to present work and explain findings to senior team members
- A post graduate degree and research experience
- Experience working in a professional services organization, such as consulting
- Knowledge of statistical disclosure control or privacy laws
- All information and credentials submitted in your application must be truthful and complete.
- B.Sc en mathématiques, statistiques, informatique, physique ou domaine connexe
- 1 an d'expérience professionnelle pertinente
- Compétences solides en mathématiques et statistiques
- Expérience en analyse de données, exploration de données et modélisation de données (utilisant SQL et R/Python)
- Connaissance de la méthodologie Privacy Analytics
- Expérience en anonymisation des données et préparation des données pour l'anonymisation
- Expérience de soutien et de suivi de plusieurs projets à divers stades de développement
- Capacité à présenter le travail et à expliquer les résultats aux membres seniors de l'équipe
- Excellentes compétences en communication verbale et écrite
- Excellentes compétences en résolution de problèmes
Nice to have
- Développer une expertise en contrôle de la divulgation statistique et en réglementations et normes de désidentification
- Valider les données reçues des clients et les préparer pour la mesure des risques de réidentification
- Pour en savoir plus, visitez https://jobs.iqvia.com
Skills
- Having good communication skills to present information in a clear and concise manner to internal stakeholders will be needed.
Compensation
- La fourchette salariale de base potentielle pour ce poste, annualisée, est de $49,700.00 - $82,800.00.
- The potential base pay range for this role, when annualized, is $49,700.00 - $82,800.00.
- The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time).
- Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and wellness and/or other benefits.
Benefits
- Support qualitative and quantitative re-identification risk analysis for a variety of clients in and outside of the healthcare domain, and support documentation of the results of these analyses in client-facing reports
- Experience working with health, financial, or other consumer data
Company info
- As part of the Data Privacy Solutions team, the primary focus of the Associate Data Scientist will be to assist with client engagements focusing on de-identification and re-identification risk measurement of client data.
This listing is sourced directly from IQVIA's careers page and normalized into a canonical job model.