AI-Driven Scientific Data Engineer (CMC/Pharma)

ABBVIE

Waltham (MA)

On-site

USD 66,000 - 126,000

Full time

14 days+

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Job summary

AbbVie is seeking an Associate Scientific Technical Engineer II to build scalable data pipelines and data products for AI/ML in its PDST team. You will harmonize data across MES, LIMS, QMS, ERP and instrument sources, enabling scientists and engineers to drive regulatory and manufacturing decisions.

The role focuses on data ingestion, harmonization, quality governance, and platform enablement within an AI-native data ecosystem, contributing to AbbVie's biologics strategy and manufacturing

Qualifications

Bachelor's degree in a technical field plus 2 years' experience or Master's with 0 years.
Hands-on experience designing and building enterprise-grade data pipelines.
Proficiency in Python, SQL, and cloud data platforms.
Experience with data governance, data lineage, and data quality controls.

Responsibilities

Design and implement scalable data ingestion pipelines linking CMC and manufacturing systems.
Develop harmonized data models and semantic mappings across sites and systems.
Implement data quality controls, lineage, and observability.
Deliver data products and features for AI/ML applications.
Contribute to cloud data platform design, IaC, CI/CD, and platform onboarding.

Skills

Python for data engineering

SQL

Cloud data platforms

Education

Bachelor's Degree in Computer Science or related field

Tools

Informatica

Talend

Apache NiFi

AWS/GCP/Azure

dbt

Spark

Airflow

Databricks

Snowflake

Job description

The role focuses on data ingestion, harmonization, quality governance, and platform enablement within an AI-native data ecosystem, contributing to AbbVie's biologics strategy and manufacturing

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