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Data Scientist - Statistician

IQVIA Holdings Inc.

Durham, North Carolina

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

The role is most suited for post-doctoral/post-graduates/graduates in Data Sciences who are coming through from internship roles within IQVIA or other organizations. The role involves leading edge thinking around advanced analytics, machine learning and artificial intelligence model building.  Long term seniority is not a criterion so encouraging new enthusiastic data science and statistics experts to apply for the role. 

Responsibilities

  • Interpret data, analyze results using statistical techniques and develop reports and analysis outputs
  • Develop and implement
    • Statistical models to answer specific business questions
    • Machine learning models and NLP to solve problems related to clustering, classification, prediction
    • data collection systems that optimize statistical efficiency and data quality
  • Knowledge to work with teams that design, prototype and iteratively test:
  • Heuristic and statistical algorithms for outlier identification and fraud detection
  • Predictive models to assess clinical study, site, and subject risks
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Design and maintain dashboards for analytic products
  • Work closely with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Data Science Skill-sets and Requirements

  • Knowledge of and experience with:
    • Statistical analysis, mathematical modeling, optimization, machine learning, artificial intelligence  
    • Programming and modeling (R, Python, Linux shell)
    • Visualization and reporting (Spotfire, Jupyter Notebook)
    • Data process using SQL and large-data techniques (Hadoop, Spark)
  • Background of operational research, process improvement, and process modelling
  • Proven working experience as a data analyst
  • Technical expertise regarding data models, database design development, data mining
  • Knowledge of statistics and experience using statistical packages for analyzing large datasets
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Advanced studies in Mathematics, Statistics, Computer Science, and Information Management

Qualification: PhD (preferred) or Master’s in Data Science/Statistics/Applied statistics/Operations management with major in Data Analysis.

Examples: UNC, NCS or Duke postgrads in multi-disciplinary or inter-disciplinary data science/statistics/analytics.

Location: RTP, Raleigh-Durham, North Carolina.  Office/home-based hybrid

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.

IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled

IQVIA, Inc. provides reasonable accommodations for applicants with disabilities.  Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.

Job posted: 2020-07-15

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