Senior Engineer I, Manufacturing Sciences  – Data Analytics

Posted 3 Days Ago
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Triangle Trailer Park, Township of Jacksonville, NC, USA
In-Office
98K-127K Annually
Senior level
Biotech
The Role
Design and deploy manufacturing data solutions and ETL pipelines to improve process understanding, support investigations, enable AI-driven capabilities, and integrate enterprise manufacturing systems for analytics and reporting in a GMP environment.
Summary Generated by Built In

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.


 

Job Level: Professional


Additional Information

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. 


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.



Skills Required

  • Bachelor's degree in a relevant scientific or technical field
  • Minimum 4 years of directly relevant data analytics experience (Master's may be considered as experience)
  • Experience working with manufacturing, process, engineering, 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
  • 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 such as Spotfire, PowerBI, or Tableau
  • Experience in predictive process modeling and using data, modeling, or machine learning for 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

Biogen Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Biogen and has not been reviewed or approved by Biogen.

  • Fair & Transparent Compensation Pay is generally positioned as competitive and often perceived as fair across roles, with total compensation framed as strong when bonus and equity are included. Compensation sentiment is described as above-average overall, though it varies by function and business cycle.
  • Equity Value & Accessibility Equity programs are repeatedly highlighted as a meaningful part of the total package, including stock programs and an employee stock purchase plan. Equity and bonus elements are portrayed as important contributors to feeling well rewarded beyond base pay.
  • Leave & Time Off Breadth Time-off benefits are described as distinctive, including a year-end shutdown and a paid sabbatical after extended tenure. Vacation, holidays, sick time, and personal-significance days are also presented as supportive of work-life needs.

Biogen Insights

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The Company
HQ: Cambridge, MA
9,575 Employees
Year Founded: 1978

What We Do

Through cutting-edge science and medicine, Biogen discovers, develops and delivers innovative therapies worldwide for people living with serious neurological and neurodegenerative diseases. Founded in 1978, Biogen is a pioneer in biotechnology and today the Company has the leading portfolio of medicines to treat multiple sclerosis, has introduced the first and only approved treatment for spinal muscular atrophy, and is at the forefront of neurology research for conditions including Alzheimer’s disease, Parkinson’s disease and amyotrophic lateral sclerosis. Biogen also manufactures and commercializes biosimilars of advanced biologics. With approximately 7000 people worldwide, we are truly a global organization, headquartered in Cambridge, Massachusetts, which is also home to our research operations. Our international headquarters are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries. For more information, please visit www.biogen.com. Follow us on social media – Twitter, LinkedIn, Facebook, YouTube.

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