Architect - III*

Architect - III•#26-16005 $80-$85 per hour Foster City, CA Onsite Job Description Remote Position

Bill Rate:

•/hr•

Job Title:

Data Scientist

Organization:

Global Data & Digital Innovation (GDDI) Overview We are seeking a highly motivated Data Scientist to join the Global Data & Digital Innovation (GDDI) organization within the pharmaceutical commercial domain. This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness. The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions. Key Responsibilities Develop and deploy predictive models for patient events (line switches, initiation) Scale Best Action (NBA) solutions to optimize HCP engagement strategies across channels to various products Apply advanced ML techniques including regression, classification, and NLP techniques Create multi touch attribution pipelines for the customer journeys and optimization Integrate GenAI capabilities into commercial workflows such as: HCP engagement planning Content personalization Gen AI interfaces for ML pipelines ML Engineering & Pipeline Development Oversee build and maintenance of end-to-end ML pipelines including: Data ingestion, feature engineering, model training, evaluation, and deployment Implement MLOps best practices: Model versioning, monitoring, and retraining pipelines CI/CD integration for scalable deployment Work with modern data platforms (e.g., Databricks, AWS) Commercial Strategy & Stakeholder Support Partner with Sales, Marketing, and Sales Analytics teams to translate business problems into analytical solutions Deliver actionable insights and recommendations to senior stakeholders Collaborate with: Advanced Analytics teams (modeling and experimentation on alerts) Data Engineering teams (data pipelines and infrastructure) Business stakeholders (Sales, Marketing, Market Access) Act as a bridge between technical and business teams, ensuring adoption of advanced analytics and AI solutions Data Management & Compliance Work with large-scale healthcare datasets such as: Claims, EHR/EMR, CRM, and digital engagement data Ensure compliance with data privacy and regulatory standards (e.g., HIPAA) Required Qualifications Education Master's or PhD in: Data Science Computer Science Statistics Operations Research Mathematics or a related quantitative discipline Experience 5-7+ years (Master's) or 3-5+ years (PhD) in: Data science, machine learning, or advanced analytics Pharmaceutical / life sciences commercial analytics preferred Healthcare analytics or consulting experience Technical Skills Core Data Science Proficiency in: Python (preferred) or R SQL Strong understanding of: Machine learning algorithms (supervised/unsupervised learning) Statistical analysis and experimental design GenAI & Modern AI Stack Hands-on experience with: Large Language Models (LLMs) and GenAI frameworks Prompt engineering and RAG architecture Agent-based AI systems (e.g., LangChain, MCP, A2A, AutoGen) Familiarity with: Vector databases and embeddings API-based AI integrations ML Engineering / MLOps Experience with: Overseeing ML pipelines (training → deployment → monitoring) Tools such as Databricks, Azure ML, AWS SageMaker

Knowledge of:

Model deployment, REST APIs, containerization (Docker) CI/CD pipelines for ML systems Visualization & Communication Ability to build apps for demo purposes using Databricks Experience with BI tools (Power BI, Tableau) Strong storytelling skills to communicate insights effectively Domain Expertise (Preferred) Pharmaceutical commercial domain experience, including: Patient journey and longitudinal data analysis HCP targeting and segmentation Omnichannel marketing analytics and campaign optimization Experience in: Best Action (NBA) frameworks Sales force effectiveness Promotional response modeling especially Multi- touch Attribution Key Competencies Strong problem-solving mindset with business acumen Ability to bridge AI innovation with commercial impact Excellent stakeholder management and communication skills Experience working in cross-functional, global teams High attention to detail and commitment to quality What Success Looks Like Delivering scalable AI/ML and GenAI solutions that drive commercial insights Enabling smarter, real-time decision-making for Sales and Marketing teams Successfully deploying GenAI agents and production-grade ML pipelines Becoming a trusted partner within the Global Data & Digital Innovation organization

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."