Manufacturing science technology analyst

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

• Bachelor’s or Master’s 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 law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements

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