Associate Data Scientist (R1079411) in Plymouth Meeting, PA bei IQVIA™

Datum der Veröffentlichung 8/8/2019

Stellenauszug

  • Mitarbeiterkategorie:
    Vollzeitbeschäftigung
  • Jobkategorie:
  • Berufserfahrung:
    Not Specified
  • Datum der Veröffentlichung
    8/8/2019
  • Job ID:
    R1079411

Stellenbeschreibung

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.

We are looking for a creative, innovative, intellectually curious and entrepreneurial Data Scientist who is excited about apply machine learning in healthcare to join our Plymouth Meeting (PA) team.

This is an exciting opportunity to work in one of the world's leading human data science teams working with real world insights to help our clients answer specific questions globally, make more informed decisions, and deliver results.

If you are a Data Scientist who is keen to build data engineering and machine learning tools and products at the cutting-edge of life sciences, you will be in great company with this highly esteemed team of experts!

The primary focus of the role is to develop ML solutions on high scale, high complexity rich medical data to predict answers to healthcare challenges.

Ideally you will have:

  • Postgraduate degree or higher involving statistics, machine learning, or computer science OR 2+ years of commercial experience involving machine learning or data analytics
  • Experience of statistical / machine learning projects in academia or the commercial sector
  • Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), support vector machines, deep learning methods, etc. Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling
  • Strong programming skills in Python.
  • Experience in PySpark is highly beneficial but not prerequisite
  • Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape
  • Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc.
  • A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently, able to work as part of a cross-functional team.



Bonus points for:

 

  • Peer-reviewed publications involving machine learning
  • Knowledge of healthcare patient-level data
  • Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
  • Work in bioinformatics
  • Knowledge of healthcare / life science issues involving Real-World Evidence
  • Experience with patient-level, longitudinal data.

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 ID: R1079411