We are seeking a Senior AI Analytics Engineer for a global pharmaceutical client. You will serve as a key contributor in building advanced analytics infrastructure and AI-driven decision support tools for the Global Patient Operations Cell Therapy team. This role blends data engineering, analytics engineering, and AI/ML integration to enhance visibility into critical operations such as scheduling, clinical trials, and commercial performance. The ideal candidate thrives in regulated environments, understands the nuances of healthcare data, and can own delivery end-to-end from data ingestion through to dashboarding and insight delivery.

This is a 40-hour per-week, 12-month contract (extensions possible), 50% onsite role in Seattle, WA.

This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.

Responsibilities

Design and build scalable data pipelines using python, SQL and cloud-based tools (Azure, AWS) Develop and maintain analytics models and data transformation using dbt, airflow and data warehouses (ex: Snowflake, BigQuery) Build and manage dashboards and data visualizations using web-based tools, Tableau, Power BI Ensure data quality, governance and security compliance across engineering workflows Responsible for ingestion, integration and delivery of data products and insights across multiple platforms applying and maintaining data integrity and governance rules Support adhoc analytics initiatives for clinical trials, commercial ops and digital health systems Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight Develop high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations Responsible for documentation of all technical work both within and outside of formal document management systems

Requirements

5+ years of experience in data engineering, analytics or applied machine learning Strong python and SQL Skills, experience in ETL Orchestration tools (Airflow, Prefect. Domino) ability to manipulate and analyze complex datasets Proficiency in modern data stack (dbt, snowflake/Big Query, version control, CI/CD pipelines) Experience and familiarity in DataOps/MLOps frameworks, AI/LLM tooling such as OpenAI, Langchain, Hugging face Transformers Experience in regulated industry (Pharma, biotech or life sciences) is highly preferred Solid grasp of data science fundamentals: causal inference, regression, classification, experimental design Knowledge of GxP, HIPAA or compliance standards is preferred Experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics is preferred. Experience working with unstructured text Familiarity with NLP, time series forecasting, or image analytics in healthcare is preferred Masters degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field

Please submit your resume to our network at https://www.stage4solutions.com/careers/ (please apply to the Senior AI Analytics Engineer - Pharma (Hybrid - Seattle, WA) role).

Please feel free to forward this project opening to others who may be interested.

Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other applicable legally protected characteristics.

Compensation: $90/hr. - $97.8/hr.

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