Data Engineer – Biotech Manufacturing
Amaris Consulting
Date: 8 hours ago
City: Framingham, MA
Contract type: Full time
Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
Job Description
Project Context
Join a high-impact project within the Manufacturing Sciences, Analytics, and Technology (MSAT) team for a major biopharmaceutical client. The role focuses on enabling data-driven decisions in biologics manufacturing by designing and deploying robust data pipelines and contextualized systems integrated with key manufacturing platforms such as MES, LIMS, and PI Historian.
Key Responsibilities
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
Job Description
Project Context
Join a high-impact project within the Manufacturing Sciences, Analytics, and Technology (MSAT) team for a major biopharmaceutical client. The role focuses on enabling data-driven decisions in biologics manufacturing by designing and deploying robust data pipelines and contextualized systems integrated with key manufacturing platforms such as MES, LIMS, and PI Historian.
Key Responsibilities
- Collaborate with MSAT, Automation, Digital, and Quality teams to define data analytics needs.
- Map and integrate data from manufacturing systems (MES, PI Historian, LIMS) into the OneAI cloud platform.
- Design and develop contextualized data pipelines to deliver ready-to-use datasets for analytics and process monitoring.
- Build and maintain dashboards to support process robustness and yield optimization.
- Contribute to the deployment of advanced analytics and ML models for performance improvement.
- Ensure data quality, compliance, and governance in a GxP-regulated environment.
- Document data architecture, pipeline configurations, and mappings.
- Data Engineering: Snowflake, MS SQL Server, Dataiku, Python, GitHub
- Manufacturing Systems: Werum PAS-X (MES), PI Historian (OSIsoft), LIMS
- Visualization: JMP, Dataiku Dashboards, Power BI (a plus)
- Cloud & Dev Tools: Azure, Git, Agile/Scrum, JIRA/Confluence
- Bachelor’s or Master’s in Data Engineering, Computer Science, Chemical/Biotech Engineering, or related field
- 5+ years of experience in data pipeline development, ideally in GxP or life sciences manufacturing
- Proven experience integrating shop floor/industrial data (MES, LIMS, Historian)
- Experience contextualizing process parameters and modeling data in pharma or biotech settings
- Familiarity with biopharma manufacturing processes and tech transfer
- Excellent communication and stakeholder interaction skills
- Experience in a GMP-regulated biotech/pharma environment
- Exposure to AI/ML applications for process analytics
- An international community bringing together more than 110 different nationalities
- An environment where trust is central: 70% of our leaders started their careers at the entry level
- A strong training system with our internal Academy and more than 250 modules available
- A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
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