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Associate Data Science Director

Aplica ya
Mapa de ubicación: Plymouth Meeting, Pennsylvania, United States Full time R1249996

Descripción del trabajo

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™ focused on helping our healthcare clients find better solutions for their patients. In Supplier Services we use big data, advanced analytics and human ingenuity to uncover insights and support our pharmacy retailer clients driving healthcare forward.

As a Data Scientist on our team you have the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment answering critical business questions. Combining modern analytic tools, methodologies, and challenging requests, this crucial role will help mold the way our team approaches analysis and builds data-driven analytics products. You will also have the opportunity to provide mentorship to the team and serve as a key liaison for our team with the client account team.

The IQVIA Data Science team is one of the leading healthcare analytical teams in the world.  We seek highly motivated people who truly want to make a difference in human data science.  At IQVIA, we look for the very best people, and then give them meaningful work to do.

Role Purpose

  • Engage with our pharmacy retailer partners to solve business challenges and identify relevant opportunities by developing, managing and delivering advanced analytics solutions.  The role involves components of:
    • Analytic development & innovation
    • Insight identification, presentation & communication
    • Supplier support & interaction

Role Responsibilities

  • Partner with pharmacy retailers and their IQVIA account teams to identify analytical and technical solutions, including appropriate data assets,  statistical / machine learning models, algorithms and visualizations, that guide direct business transformation (analytical approaches that may be used include optimization, simulation, regression, mixed models, classification models, pattern recognition, machine learning, and deep learning).
  • Design and implement stable, scalable and cost-effective data-centric solutions to complex business problems where analysis requires an in-depth knowledge of pharmacy retailer organizational objectives and data science domain expertise.
  • Clear and concise articulation, presentation, and documentation of analytic and technical opportunities, constraints, recommendations, and action items to both internal and external senior management audiences
  • Research and analyze market landscapes and emerging platforms, patterns, practices, and methodologies to drive differentiated service offerings for clients and foster greater professional development opportunities for internal talent
  • Build expertise in cross-platform applications of IQVIA assets with a specialization in encrypted patient-level longitudinal healthcare claims data
  • Proactively manage own project timelines, risks and challenges and work out mitigation alternatives with the team under minimum supervision

Our ideal candidate will have:

  • Master’s degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with 8+ years relevant experience and a strong focus on data science and quantitative analysis or Bachelor’s with 12+ years equivalent experience
  • Demonstrable consulting, analytical, interpretative, and problem-solving skills and proven ability to develop innovative approaches through creativity and critical thinking
  • Advanced use of statistical programming languages (SQL, R, Python, SAS) to manipulate data and build statistical and machine learning models
  • Knowledge and experience with statistical and data mining concepts including multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, propensity matching, scenario analysis, simulation, advanced modeling and machine learning techniques
  • Excellent understanding of handling Big Data along with a drive to learn and master new techniques and technologies
  • Working knowledge of large-scale distributed data/computing tools such as Hadoop, Hive, Impala, Spark, etc.
  • Demonstrable analytical, interpretative and problem-solving skills and proven ability to develop innovative approaches
  • Knowledge of pharmaceutical market and experience with encrypted patient-level/longitudinal healthcare claims
  • Strong organization and project planning skills, ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines
  • Knowledge of data reporting/manipulation and business intelligence tools such as RapidMiner, Spotfire, and/or Tableau
  • Excellent written and verbal communication skills, strong interpersonal skills, detail-oriented, and ability to work collaboratively across teams

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

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.

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