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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (Pharmaceutical Commercial Analytics & GenAI) - **Company:** Pacer Staffing LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $187,200.0 - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** June 16, 2026 - **Apply:** https://arc.dev/remote-jobs/j/pacer-staffing-data-scientist-pharmaceutical-commercial-analytics-genai-oxa0hccqev ## About the Role * 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. ## 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)