Senior Engineer I, Manufacturing Sciences – Data Analytics

Biogen

Senior engineer developing manufacturing data solutions for Biogen, a biotechnology company. Supporting analytics, AI capabilities, investigations, and digital manufacturing modernization.

Posted 8/17/2026full-timeResearch Triangle Park • North Carolina • 🇺🇸 United StatesSenior💰 $98,000 - $127,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, analytics, and ETL processes within manufacturing environments, with a strong focus on data quality and integration across multiple systems. Capable of translating business needs into actionable data solutions while supporting digital transformation initiatives.

Highest-signal resume keywords

Data ManagementETL WorkflowsManufacturing Data AnalyticsTechnical DocumentationPredictive Process Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData QualityData PipelinesStatistical ProgrammingMachine LearningSemantic SearchGenerative AI ApplicationsProcess ImprovementData ModelingData Contextualization

Soft Skills

CollaborationCommunicationProblem-SolvingPresentation Skills

Tools & Technologies

DeltaVSyncadePILabWare LIMSOracle EBSSnowflakeStatisticaSpotfirePowerBITableau

Industry Keywords

BiotechnologyPharmaceuticalLife SciencesGMPRegulated Manufacturing

Tech Stack

Tools & technologies

ETLOraclePythonTableau

About the role

Key responsibilities & impact

Define manufacturing data requirements and establish processes ensuring data quality, reliability, and meaningful business insights
Partner with Manufacturing Sciences, Technical Development, and stakeholders to translate business needs into analytical and data solutions
Build and maintain product-specific data configurations, mappings, documentation, and ETL processes across multiple source systems
Develop and support integrations with DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, and Statistica
Enable and support AI-based capabilities, including semantic search, document comparison, and automated report generation
Create technical documentation and communicate methodologies, findings, and recommendations to cross-functional teams
Support manufacturing investigations, process improvement initiatives, and GMP reporting through data management, analysis, and modeling
Collaborate across technical and operational organizations to advance digital manufacturing and data modernization efforts

Requirements

What you’ll need

Bachelor’s degree in relevant scientific or technical fields from an accredited college or university
At minimum 4 years of directly relevant data analytics experience
Experience working with manufacturing, process, engineering, and/or operational data
Strong understanding of data management, data quality, and analytics principles
Experience building and maintaining data pipelines, integrations, or ETL workflows
Demonstrated ability to work with multiple enterprise data sources and manufacturing systems
Experience creating technical documentation and presenting findings to diverse audiences
Preferred: experience within biotechnology, pharmaceutical, life sciences, GMP, or regulated manufacturing environments
Preferred: knowledge of DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, Statistica, Spotfire, PowerBI, or Tableau
Preferred: experience in predictive process modelling, statistical programming with R or Python, AI, machine learning, semantic search, or generative AI applications
Preferred: experience partnering with manufacturing sciences, process engineering, automation, or technical development teams
Preferred: understanding of data contextualization and digital transformation initiatives within manufacturing operations

Benefits

Comp & perks

Regular employees are eligible for short-term and long-term incentives, including cash bonus and equity incentive opportunities
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation
Hybrid work arrangement