Manufacturing Science & Technology Analytics Engineer (Contract)
Manufacturing Science & Technology Analytics Engineer (Contract)
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Job Description
Job Description
We are seeking an experienced MS&T (Manufacturing Science & Technology) Analytics Contractor to join our team for a 24-month assignment. This role is critical in driving data integration visualization and insight generation across small molecule and cell & gene therapy manufacturing operations. The ideal candidate will bring a strong background in pharma/biotech data analytics with the ability to combine complex data sources build impactful visualizations and enable data-driven decisions that advance manufacturing excellence. This is a highly collaborative role requiring both technical depth and strong communication skills. You will partner closely with cross-functional stakeholders in MS&T and IT to deliver scalable analytics solutions that improve process understanding and performance.
Key Responsibilities
Data Integration & Engineering:
Aggregate and harmonize data from multiple sources including PI data historians Snowflake flat files Statistica Enterprise and other structured/unstructured data systems.
Build scalable reliable pipelines to ensure data quality accessibility and consistency.
Visualization & Analytics:
Develop intuitive dashboards and interactive applications (Python Dash JMP MATLAB TIBCO Spitfire/Statistica) to visualize manufacturing process data.
Translate complex datasets into actionable insights supporting both small molecule and advanced therapies.
Deploy analytics solutions on cloud environments (AWS) to ensure accessibility and scalability.
Insight Generation & Decision Support:
Apply statistical and data science methods to identify process trends correlations and improvement opportunities.
Collaborate with MS&T subject matter experts to contextualize insights and recommend process improvements.
Project & Stakeholder Management:
Manage multiple projects timelines and deliverables with minimal oversight.
Communicate findings clearly and effectively to both technical and non-technical stakeholders.
Partner with cross-functional teams to ensure alignment of analytics solutions with business needs.
Required Qualifications
Bachelors or Masters degree in Engineering Data Science Statistics Computer Science or related field.
5 years of experience in pharma/biotech data analytics preferably within MS&T manufacturing or process development.
Proven expertise in:
Programming & Visualization: Python (Dash) JMP MATLAB
Data Platforms: Snowflake PI Data Historian TIBCO Statistica/Spitfire
Cloud Deployment: AWS-based web app development and deployment
Strong understanding of pharma/biotech manufacturing data and GMP-related systems.
Demonstrated ability to manage projects independently and deliver results in fast-paced environments.
Excellent written and verbal communication skills with the ability to distill complex analyses into clear actionable insights.
Preferred Qualifications
Experience with advanced therapies (cell & gene) as well as small molecule manufacturing analytics.
Familiarity with data engineering best practices ETL pipelines and API integrations.
Experience applying multivariate statistics machine learning or advanced modeling in a manufacturing context.
Strong interpersonal skills with a proven track record of stakeholder collaboration across technical and business teams.
Contract Length: 24 month
Pay Range
$43/hr.-$54/hr.
Shift/Hours
Monday - Friday
Requisition Disclaimer
This job posting is for a temporary role with a third-party agency partner on assignment at Vertex Pharmaceuticals (Vertex). The individual selected for this role will be offered the role as an employee of a third- party agency partner; compensation medical benefits fringe benefits and other terms and conditions of employment shall be presented by the third-party agency partner upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors including skills competencies experience location and/or being pursued and other job-related factors permitted by addition this role will be eligible for overtime pay in accordance with federal and state requirements
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No C2C or Third-Party Vendors
Employment Type
Unclear
