MS&T Data Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MS&T Data Specialist in Boston, MA, for 24 months at a pay rate of "unknown." Key skills include Snowflake, Python, MATLAB, and Spotfire. Experience in CPV within pharma/biotech is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 19, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Boston, MA
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🧠 - Skills detailed
#Data Engineering #Scripting #Visualization #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Matlab #Python #Deployment #Spotfire #Snowflake #Azure
Role description
Job Title: MS&T / Process Analytics Engineer / Bioprocess Data Specialist Location: Boston, MA (Hybrid – 3 days onsite per week) Duration: 24 Months Target Start Date: End of September Our client is seeking a MS&T Analytics Engineer with strong expertise in data engineering, visualization, and CPV (Continued Process Verification) analytics to support small molecule and cell/gene therapy manufacturing. This role will focus on turning complex manufacturing data into actionable insights to drive process improvements and operational excellence. Key Responsibilities β€’ Extract, clean, and transform data from Snowflake and other data sources. β€’ Build and maintain data models and tables to enable advanced analytics. β€’ Develop interactive visualizations and dashboards (Python, Spotfire, MATLAB) to communicate findings to process engineers and cross-functional teams. β€’ Collaborate with MS&T and manufacturing teams to interpret trends and deliver CPV analytics to support ongoing process verification. Must-Have Skills β€’ Snowflake: Hands-on experience building data models/tables and cleaning/transforming data. β€’ Python: Strong data engineering skills (beyond basic scripting). β€’ Proven ability to pull and manipulate existing data (not focused on ingestion pipelines). β€’ Strong data visualization skills with the ability to translate raw data into clear, actionable insights. β€’ Background or strong exposure to Continued Process Verification (CPV) in pharma/biotech. β€’ MATLAB for visualization and analytics. β€’ Spotfire for advanced dashboarding and reporting. Nice-to-Have Skills β€’ Experience in manufacturing or MS&T, especially small molecule or advanced therapies. β€’ Degree in Chemical Engineering, Pharmaceutical Sciences, or a related technical/data field. β€’ Familiarity with AWS or Azure deployments is a plus but not required.