Yochana

Contract Role: Sr. Pharma Business Analyst at Rahway NJ or West Point PA (Onsite - Hybrid Model)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Pharma Business Analyst in Rahway, NJ or West Point, PA (Hybrid Model). Long-term contract with a focus on Pharma/R&D/GxP experience, workflows, data mining, and Omics modalities. Proficiency in SQL, Agile, and cloud platforms required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Rahway, NJ
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🧠 - Skills detailed
#Automation #Agile #BI (Business Intelligence) #MS SQL (Microsoft SQL Server) #ML (Machine Learning) #Compliance #Cloud #Data Mining #SQL (Structured Query Language) #Scala #Business Analysis #AWS (Amazon Web Services) #R #Data Governance #Metadata #AI (Artificial Intelligence) #Data Processing #Azure #Data Analysis
Role description
Sr. Pharma Business Analyst Rahway NJ or West Point PA (Hybrid Model) (On site in either location 2 to 3 days a week a must) Long Term Contract Must Have Experience: • Functional Business Analyst coming from a Pharma / R&D / GxP environment (Who has worked in Laboratory practice or Manufacturing practice • Business Analyst who has experience with Workflows, Data Mining, gathering requirements, Building Functional requirements, Writing Lifecycle Docs SDLC, • Experience with Omics modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR, Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) would be a plus nice to have. Job Description: • Experience in requirements management, business analysis, and product analytics within a technical or scientific environment. • Familiarity with Omics modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR data principles. • Strong analytical and problem-solving skills; ability to interpret technical data and translate into actionable insights. • Proficiency with Agile methodologies, backlog tools, and data analysis platforms (SQL, BI dashboards). • Help define and monitor KPIs for Omics data products (e.g., data availability, accessibility, cost efficiency). • Recommend optimizations for automation, scalability, and workflow efficiency. • Experience with cloud platforms (AWS, Azure) and data processing pipelines. • Exposure to AI/ML applications in Omics data analysis. • Knowledge of metadata standards, data governance, and compliance in life sciences.