Data Scientist (Pharmaceutical Commercial Analytics & GenAI)

Job Title: Data Scientist (Pharmaceutical Commercial Analytics & GenAI) Location: Remote Employment Type: Contract Duration: 6+ Months Domain: Pharmaceutical / Life Sciences Pay Rate: $90/hr Application Deadline: 12-06-2026 SKILLS REQUIRED: • 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 POSITION OVERVIEW: 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. 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. ROLES & RESPONSIBILITIES: • 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 BENEFITS: Medical | Dental | Vision | 401(k) EEOC COMPLIANCE: We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic. DISCLAIMER: AI Usage Policy: Pacer Group uses AI-assisted tools to support candidate screening and recruitment processes. Final hiring decisions are made by human recruiters based on qualifications, experience, and client requirements.