Senior Engineer I, Manufacturing Sciences – Data Analytics

Biogen; Milwaukee (WI); Hybrid; USD 98,000 - 127,000; Full time

Benefits offered by this job

Medical, Dental, Vision, & Life insur.

401(k) with company match

Tuition reimbursement up to $10,000

Job summary

Biogen in Milwaukee seeks a Senior Engineer I, Manufacturing Sciences - Data Analytics to enable data-driven decisions across manufacturing. You will develop and deploy data solutions to improve process understanding, performance, investigations, and reporting, partnering with Automation, IT, and cross-functional teams.

This hybrid role requires onsite collaboration three days per week. Ideal candidates have a strong data analytics background, experience with ETL, data pipelines, and multiple

Qualifications

• Bachelor’s degree in relevant scientific or technical fields.
• 4+ years of directly relevant data analytics experience.
• Master’s degree may be considered as relevant 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.

Responsibilities

• Define manufacturing data requirements and establish processes that ensure data quality, reliability, and meaningful business insights.
• Partner with Manufacturing Sciences, Technical Development, and other 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 enterprise manufacturing platforms including 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 clear technical documentation and communicate methodologies, findings, and recommendations to cross-functional teams.
• Support manufacturing investigations, process improvement initiatives, and GMP reporting activities through data management, analysis, and modeling.
• Collaborate across technical and operational organizations to advance digital manufacturing and data modernization efforts.

Skills

Data analytics

ETL pipelines

Data integration

Data quality

Cross-functional collaboration

Documentation

Problem solving

Statistical thinking

Education

Bachelor’s degree in relevant field

Master’s degree may be considered

Tools

Spotfire

PowerBI

Tableau

Job description

About This Role

The Senior Engineer I, Manufacturing Sciences - Data Analytics, will play a critical role in enabling data-driven decision making across manufacturing operations and technical functions. This position is responsible for developing and deploying manufacturing data solutions that improve process understanding, operational performance, investigations, and reporting capabilities. Working closely with Automation, IT, and other cross-functional partners, you will design and maintain data models for access, contextualization, and analytics tools that connect diverse manufacturing systems and support emerging AI-driven applications. Working with Manufacturing Sciences and Technical Development, you will leverage analytics tools to provide process insight, support investigations and work toward process improvement. This is a hybrid position requiring onsite collaboration for three days per week, at minimum.

About This Role

The Senior Engineer I, Manufacturing Sciences - Data Analytics, will play a critical role in enabling data-driven decision making across manufacturing operations and technical functions. This position is responsible for developing and deploying manufacturing data solutions that improve process understanding, operational performance, investigations, and reporting capabilities. Working closely with Automation, IT, and other cross-functional partners, you will design and maintain data models for access, contextualization, and analytics tools that connect diverse manufacturing systems and support emerging AI-driven applications. Working with Manufacturing Sciences and Technical Development, you will leverage analytics tools to provide process insight, support investigations and work toward process improvement. This is a hybrid position requiring onsite collaboration for three days per week, at minimum.

What You’ll Do

• Define manufacturing data requirements and establish processes that ensure data quality, reliability, and meaningful business insights.
• Partner with Manufacturing Sciences, Technical Development, and other stakeholders to understand business needs and translate them 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 enterprise manufacturing platforms including 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 clear technical documentation and communicate methodologies, findings, and recommendations to cross-functional teams.
• Support manufacturing investigations, process improvement initiatives, and GMP reporting activities through effective data management, analysis, and modeling.
• Collaborate across technical and operational organizations to advance digital manufacturing and data modernization efforts.

Who You Are

You are a data-driven engineer who enjoys solving complex manufacturing and technical challenges through analytics and technology. You thrive in cross-functional environments, translating operational needs into scalable data solutions while balancing technical excellence with practical business impact.

Required Skills

• 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.
• Master’s degree may be considered as relevant 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 with creating technical documentation and presenting findings to diverse audiences.

Preferred Skills

• Experience within biotechnology, pharmaceutical, life sciences, GMP, or regulated manufacturing environments.
• Knowledge of manufacturing systems including DeltaV, Syncade, PI, LabWare LIMS, Oracle EBS, Snowflake, or Statistica.
• Experience supporting data platforms, reporting solutions, and advanced analytics initiatives.
• Knowledge of analytics platforms including Spotfire, PowerBI, Tableau
• Experience in predictive process modelling and use of data, modeling, and machine learning to gain process insights
• Knowledge of statistical programming languages, such as R or Python
• Familiarity with AI, machine learning, semantic search technologies, or generative AI applications.
• Experience partnering with manufacturing sciences, process engineering, automation, or technical development teams.
• Understanding of data contextualization and digital transformation initiatives within manufacturing operations.

Additional Information

Job Level: Professional

The base compensation range for this role is: $98,000.00-$127,000.00

Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.

Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.

Benefits

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:

• 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 an 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

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.