Senior Engineer I, Manufacturing Sciences – Data Analytics
Biogen
August 25, 2026
Remote friendly (Triangle, NC)
United States
Operations
About This Role
The Senior Engineer I, Manufacturing Sciences - Data Analytics, develops and deploys manufacturing data solutions to improve process understanding, operational performance, investigations, and reporting. Designs and maintains data models and analytics tools connecting manufacturing systems and supporting AI-driven applications. Hybrid; onsite collaboration three days per week, at minimum.
What You’ll Do
- Define manufacturing data requirements and processes to ensure data quality and meaningful business insights.
- Partner with Manufacturing Sciences, Technical Development, and stakeholders to translate business needs into analytical/data solutions.
- Build and maintain product-specific data configurations, mappings, documentation, and ETL across multiple source systems.
- Develop and support integrations with DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, Statistica.
- Enable AI-based capabilities (semantic search, document comparison, automated report generation).
- Create technical documentation; communicate methodologies, findings, and recommendations.
- Support manufacturing investigations, process improvement, and GMP reporting via data management, analysis, and modeling.
Required Skills
- Bachelor’s degree in relevant scientific/technical fields.
- 4+ years of directly relevant data analytics experience (master’s may count).
- Experience with manufacturing/process/engineering/operational data.
- Strong data management, data quality, and analytics principles.
- Experience building/maintaining data pipelines, integrations, or ETL workflows.
- Ability to work with multiple enterprise data sources and manufacturing systems.
- Ability to create technical documentation and present findings.
Preferred Skills
- Biotechnology/pharma/life sciences/GMP or regulated manufacturing experience.
- Knowledge of DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, Statistica.
- Spotfire, PowerBI, Tableau.
- Predictive process modeling; machine learning for process insights.
- R or Python; AI/ML/semantic search/generative AI.
- Partnering with manufacturing sciences/process engineering/automation/technical development.
- Data contextualization and digital transformation.
Benefits
- Medical, Dental, Vision, Life insurances; Fitness & Wellness programs; Short- and Long-Term Disability.
- Paid vacation and end-of-year shutdown; company holidays; sick time; paid maternity/parental leave.
- 401(k) with company match; employee stock purchase plan; tuition reimbursement (up to $10,000/year); Employee Resource Groups.
- Base compensation range: $98,000.00-$127,000.00.
The Senior Engineer I, Manufacturing Sciences - Data Analytics, develops and deploys manufacturing data solutions to improve process understanding, operational performance, investigations, and reporting. Designs and maintains data models and analytics tools connecting manufacturing systems and supporting AI-driven applications. Hybrid; onsite collaboration three days per week, at minimum.
What You’ll Do
- Define manufacturing data requirements and processes to ensure data quality and meaningful business insights.
- Partner with Manufacturing Sciences, Technical Development, and stakeholders to translate business needs into analytical/data solutions.
- Build and maintain product-specific data configurations, mappings, documentation, and ETL across multiple source systems.
- Develop and support integrations with DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, Statistica.
- Enable AI-based capabilities (semantic search, document comparison, automated report generation).
- Create technical documentation; communicate methodologies, findings, and recommendations.
- Support manufacturing investigations, process improvement, and GMP reporting via data management, analysis, and modeling.
Required Skills
- Bachelor’s degree in relevant scientific/technical fields.
- 4+ years of directly relevant data analytics experience (master’s may count).
- Experience with manufacturing/process/engineering/operational data.
- Strong data management, data quality, and analytics principles.
- Experience building/maintaining data pipelines, integrations, or ETL workflows.
- Ability to work with multiple enterprise data sources and manufacturing systems.
- Ability to create technical documentation and present findings.
Preferred Skills
- Biotechnology/pharma/life sciences/GMP or regulated manufacturing experience.
- Knowledge of DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, Statistica.
- Spotfire, PowerBI, Tableau.
- Predictive process modeling; machine learning for process insights.
- R or Python; AI/ML/semantic search/generative AI.
- Partnering with manufacturing sciences/process engineering/automation/technical development.
- Data contextualization and digital transformation.
Benefits
- Medical, Dental, Vision, Life insurances; Fitness & Wellness programs; Short- and Long-Term Disability.
- Paid vacation and end-of-year shutdown; company holidays; sick time; paid maternity/parental leave.
- 401(k) with company match; employee stock purchase plan; tuition reimbursement (up to $10,000/year); Employee Resource Groups.
- Base compensation range: $98,000.00-$127,000.00.