Associate Data Science Director

IQVIA Information Partner Services team is hiring an Associate Data Science Director who will work with extremely complex data and methodologies in a fast-paced ever-changing environment answering critical business questions for retail pharmacy and wholesaler clients. 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 addition provide mentorship to the team and serve as a key liaison for our team with the client account team.

Essential Functions
Partner with pharmacy retailers and/or wholesalers 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.

Knowledge Skills & Abilities

Knowledge of pharmaceutical market and experience with encrypted patient-level/longitudinal healthcare claims.
Advanced use of statistical programming languages (SQL R Python SAS) to manipulate data and build statistical and machine learning models.
Demonstrable consulting analytical interpretative and problem-solving skills and proven ability to develop innovative approaches through creativity and critical thinking.
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.
Ability to manage client relationships establish realistic expectations evaluate and propose strategies that meet client needs negotiate analysis needs and associated value.
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.
Strong organization and project planning skills ability to perform multiple tasks simultaneously with minimal supervision 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.
Ability to work creatively and independently to carry out assignments of a complex nature.
Willingness to learn new methodology new technology and new tools that will enhance offerings for retail pharmacy and wholesaler clients.

Qualifications

Degree requirements include one of the following with other knowledge/skills:
Bachelors-level degree in Statistics Data Science IT Computer Science Mathematics Physics or another related field with at least ten years relevant pharmaceutical/health insurance/retail experience
Masters-level degree in Statistics Data Science IT Computer Science Mathematics Physics or another related field with at least six years relevant pharmaceutical/health insurance/retail experience
Strong working knowledge of advanced SQL and other statistical programming languages such as R Python and SAS
In-depth knowledge of complex statistical methods
Familiarity with retail pharmacy and/or health insurance operations
Previous experience working collaboratively with internal and external teams
Excellent interpersonal and organization skills

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is proud to be an equal opportunity employer. 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. potential base pay range for this role when annualized is $98200.00 - $273200.00. 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 welfare and/or other benefits.