Data Scientist (Pharmaceutical Commercial Analytics & GenAI)

Pacer Staffing LLC

United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$187,200.0

Working hours

Regular working hours

Job source

arc.dev

Tech stack

Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Health Informatics Clinical Data Repository Continuous Integration Information Engineering Data Visualization Decision Support Systems Python (Programming Language) Machine Learning

+15 more

Power BI Standard Sql Azure Machine Learning Tableau (Software) Management of Software Versions Data Ingestion Large Language Models Prompt Engineering Electronic Medical Records Build Management Machine Learning Operations Restful APIs Data Pipelines Docker Databricks

Job description

We are seeking an experienced Data Scientist to join the Global Data & Digital Innovation (GDDI) organization within the pharmaceutical commercial domain. This role focuses on developing AI/ML and GenAI-powered solutions that drive commercial effectiveness, including predictive patient event modeling, Next Best Action (NBA) frameworks, HCP engagement optimization, and GenAI-enabled decision support systems., * Develop predictive models for patient events, treatment initiation, and line-switch analysis

Design and scale Next Best Action (NBA) solutions for HCP engagement strategies
Build and deploy machine learning models using advanced statistical and AI techniques
Develop GenAI-powered applications, decision agents, and commercial analytics solutions
Design, implement, and maintain end-to-end ML pipelines from data ingestion through deployment
Implement MLOps best practices including model monitoring, versioning, retraining, and CI/CD automation
Collaborate with Sales, Marketing, Data Engineering, and Analytics teams to deliver business insights
Work with healthcare data sources including Claims, EHR/EMR, CRM, and digital engagement datasets
Develop dashboards, analytical applications, and executive-level presentations
Ensure compliance with healthcare data privacy regulations and industry standards

Requirements

5-7+ years of experience in Data Science, Machine Learning, or Advanced Analytics
Pharmaceutical commercial analytics experience
Strong proficiency in Python and SQL
Experience with Machine Learning, Predictive Modeling, Regression, Classification, and NLP
Hands-on experience with LLMs, GenAI, Prompt Engineering, RAG Architecture, and Agent-Based AI Systems (LangChain, AutoGen, MCP)
Experience with Databricks, AWS, Azure ML, or SageMaker
Knowledge of MLOps, CI/CD, Docker, REST APIs, and ML Pipeline Development
Experience working with healthcare datasets including Claims, EHR/EMR, CRM, and Digital Engagement data
Strong data visualization and storytelling skills using Power BI or Tableau
Experience building scalable AI/ML solutions and production-grade analytics platforms, The ideal candidate will possess strong expertise in machine learning, healthcare analytics, GenAI technologies, and scalable ML engineering practices while collaborating with Sales, Marketing, Analytics, and Data Engineering teams.