Associate Scientific Technical Engineer II (AI/Data Engineering)

Location: North Chicago, Illinois, United States

Salary: $65,500–$125,500 per year

Company

hirify.global develops medicines and solutions for serious health conditions across areas including immunology, oncology, neuroscience, and aesthetics.

What you will do

• Design scalable batch and real-time data ingestion pipelines connecting MES, process historians, LIMS, QMS, ERP, and instrument platforms.
• Build connectors, adapters, integration layers, and semantic models for heterogeneous pharmaceutical manufacturing data.
• Implement data quality controls, validation, anomaly detection, lineage, metadata, monitoring, and alerting.
• Deliver governed data products for AI/ML, including feature stores, curated datasets, and vector-ready layers for RAG and LLM applications.
• Contribute to cloud-based lakehouse platforms, data catalogs, infrastructure-as-code, CI/CD, automated testing, and production operations.
• Collaborate with scientists, data scientists, ML engineers, process modelers, manufacturing engineers, and quality professionals.

Requirements

• Bachelor's degree in computer science, data engineering, information systems, software engineering, bioinformatics, or a related technical field with 2 years of experience, or a master's degree with 0 years of experience.
• Hands-on experience designing enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments.
• Expert-level Python skills and strong SQL skills across analytical and transactional databases.
• Experience with AWS, Azure, or GCP and modern data tools such as dbt, Spark, Airflow, Databricks, or Snowflake.
• Experience with ETL/ELT tools, MDM, metadata and data cataloging, APIs, microservices, and logical, physical, and conceptual data modeling.
• Ability to work with data governance requirements including GxP and 21 CFR Part 11.

Nice to have

• Pharmaceutical, biotech, or regulated life sciences manufacturing experience.
• Exposure to MES, process historians, LIMS, QMS, or ERP platforms.
• Experience building AI/ML data infrastructure, feature engineering pipelines, model training datasets, or vector and embedding layers for RAG architectures.

Culture & Benefits

• Work on enterprise-scale biologics development and manufacturing programs.
• Contribute to first-in-hirify.global and first-in-biologics analytical approaches.
• Collaborate across manufacturing, quality, regulatory, and scientific functions.
• Benefits include paid time off, holidays, sick leave, medical, dental and vision insurance, and a 401(k).
• Eligible for short-term incentive programs.