The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate’s/applicant’s qualifications, skills, and level of experience as well as the geographical location of the position.

Applicants must be legally authorized to work in the United States. Sponsorship not available.

Our client is seeking a AI Analytics Engineer in Seattle, WA

Role Description

We are seeking a highly experienced Senior Analytics Engineer to 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.

• 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
• Knowledge of deep learning methods for NLP (quantitative area of study, Comp Science preferred)
• 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
• Experience working with unstructured text
• 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

Skills & Requirements

• 5+ Yrs 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
• Strong communication and stakeholder engagement skills
• 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
experience with data modelling in clinical trials, real world evidence (RWE) or commercial analytics
• Familiarity with NLP, time series forecasting, or image analytics in healthcare.
• Master’s degree or PhD in Public Health, Economics, Statistics, Computer/Data Science, or related field
• Data Engineering - Python, SQL, Airflow,Spark,dbt,snowflake/Bigquery,ETl &Orchestration , cloud (AWS,Azure), ERP, Salesforce data cloud
• Analytics Eng - dbt, SQL Modelling,datamarts, tableau/PowerBI, metrics definition, Insights and data storytelling, Adobe Analytics - Advanced analytics

• Scikit-learn,Tensorflow,Pytorch,mLFlow, feature engineering
• AI Tools - OpenAI API, Langchain, Retrieval-Augmented Generation (RAG)
• MLOPs/Deployment - ML Pipelines, CI/CD, Domino, monitoring/Logging

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

Drug testing may be required; please contact a recruiter for more information.

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