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ECLARO

AI Engineer

ECLARO, Seattle

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This range is provided by ECLARO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $105.00/hr

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Type: 1 year contract - possible extension

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
  • 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

Required Qualifications

  • 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

Nice to Have

  • 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

Per manager, the Top 3 – 5 Must Have’s a candidate should have are :

  • 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.

Seniority level

  • Seniority level

    Associate

Employment type

  • Employment type

    Contract

Job function

  • Job function

    Business Development, Engineering, and Science

  • Industries

    Biotechnology Research and Pharmaceutical Manufacturing

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