Statistician

Wayne, PA, Unites States of America, United States

IQVIA

Solutions to help life sciences organizations drive healthcare forward and get the right treatments to patients, faster.

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IQVIA is seeking a talented and driven Statistician with a strong background in artificial intelligence and data science to join our Services Delivery team. This is a high-impact role where you will work with complex financial datasets to solve critical business challenges for life science clients.

As part of a fast-paced, innovative environment, you will apply advanced statistical techniques, machine learning models, and AI-driven methodologies to develop actionable insights and scalable analytics products. The ideal candidate will bring a blend of technical expertise, strategic thinking, and a passion for problem solving. You will also serve as a key liaison between our analytics team and client account teams, ensuring seamless communication and alignment on project goals.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field; Master's degree preferred
  • 4+ years of experience in data science or similar roles, preferably in healthcare or life sciences
  • Strong programming skills in Python with proficiency in scikit-learn, XGBoost, and statistical modeling libraries
  • Advanced SQL skills, particularly with SQL Server, including complex queries with CTEs, stored procedures, and database optimization across various systems (PostgreSQL, Impala)
  • Experience with regression analysis, including linear/non-linear regression and regularization methods (LASSO, Ridge, Elastic Net)
  • Knowledge of feature engineering, selection methodologies, and hyperparameter tuning
  • Proficiency in big data technologies including PySpark and Hadoop ecosystem
  • Knowledge of NLP techniques from word embeddings to transformer architectures
  • Ability to develop and implement scalable machine learning solutions
  • Understanding of software development best practices including version control
  • Strong problem-solving skills and ability to work independently and in team environments

Preferred Skills

  • Experience in clinical trial data analysis or healthcare analytics
  • Familiarity with time series analysis and forecasting techniques
  • Understanding of advanced LLM techniques including Retrieval Augmented Generation (RAG), Supervised Fine-Tuning (SFT), and function/tool calling capabilities
  • Familiarity with visualization tools like Spotfire or Power BI
  • Experience with deploying models in production environments

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 https://jobs.iqvia.com

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. https://jobs.iqvia.com/eoe

The potential base pay range for this role, when annualized, is $89,400.00 - $223,700.00. 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.
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Tags: Architecture Big Data Computer Science Data analysis Engineering Feature engineering Hadoop LLMs Machine Learning Mathematics ML models NLP PostgreSQL Power BI PySpark Python RAG Research Scikit-learn Spotfire SQL Statistical modeling Statistics XGBoost

Perks/benefits: Career development Health care

Region: North America
Country: United States

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