

United Pharma
Data Scientist – Medical Devices
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – Medical Devices, remote for 5+ months, with a pay rate of "$X/hr." Requires 7+ years in Medical Device QMS, Python, Databricks, and AI/ML in regulated environments, focusing on quality and manufacturing data analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Classification #Databases #Data Extraction #"ETL (Extract #Transform #Load)" #Data Ingestion #Trend Analysis #Scala #Automation #Databricks #Data Engineering #ML (Machine Learning) #Python #SAP #Data Science #Datasets #Compliance
Role description
Role: Data Scientist – Medical Devices
Location: Remote
Duration: 5+ Months
Contract: W2
We are seeking an experienced Data Scientist with a strong background in Medical Device Quality Systems, Manufacturing Data Analytics, and AI/ML solutions to support advanced analytics initiatives in a regulated environment.
Key Responsibilities:
• Extract and integrate data from SAP, QMS platforms, MES systems, and service databases
• Develop Python and Databricks pipelines to transform unstructured data such as complaints, CAPAs, NCRs, and quality reports into structured datasets
• Design, implement, and optimize AI/ML workflows to identify quality trends, manufacturing issues, defect patterns, and root causes
• Leverage LLM technologies, including Claude AI, to automate data extraction, event classification, and multi-step analysis
• Build scalable analytics solutions that support quality investigations, regulatory compliance, and operational excellence
• Ensure traceability, audit readiness, and compliance with FDA and Medical Device industry requirements
• Collaborate closely with Quality, Manufacturing, Regulatory Affairs, and Engineering teams to drive actionable insights
Required Qualifications:
• 7+ years of experience working with Medical Device Quality Management Systems (QMS)
• Strong experience with CAPA, NCR, Complaint Handling, and Quality Event Management
• Deep understanding of FDA regulations and Medical Device compliance requirements
• 7+ years of Data Science and/or Data Engineering experience
• Expertise in Python, Databricks, and large-scale data ingestion and processing
• Experience building advanced analytics solutions for:
• Quality data
• Manufacturing data
• Failure analysis
• Defect detection and trend analysis
• Experience developing and deploying AI/ML models in regulated environments
• MES (Manufacturing Execution Systems) experience
Preferred Qualifications:
• Experience integrating and deploying Large Language Models (LLMs)
• Hands-on experience with Claude AI or similar GenAI platforms
• Experience with Agentic AI workflows and intelligent automation solutions
Role: Data Scientist – Medical Devices
Location: Remote
Duration: 5+ Months
Contract: W2
We are seeking an experienced Data Scientist with a strong background in Medical Device Quality Systems, Manufacturing Data Analytics, and AI/ML solutions to support advanced analytics initiatives in a regulated environment.
Key Responsibilities:
• Extract and integrate data from SAP, QMS platforms, MES systems, and service databases
• Develop Python and Databricks pipelines to transform unstructured data such as complaints, CAPAs, NCRs, and quality reports into structured datasets
• Design, implement, and optimize AI/ML workflows to identify quality trends, manufacturing issues, defect patterns, and root causes
• Leverage LLM technologies, including Claude AI, to automate data extraction, event classification, and multi-step analysis
• Build scalable analytics solutions that support quality investigations, regulatory compliance, and operational excellence
• Ensure traceability, audit readiness, and compliance with FDA and Medical Device industry requirements
• Collaborate closely with Quality, Manufacturing, Regulatory Affairs, and Engineering teams to drive actionable insights
Required Qualifications:
• 7+ years of experience working with Medical Device Quality Management Systems (QMS)
• Strong experience with CAPA, NCR, Complaint Handling, and Quality Event Management
• Deep understanding of FDA regulations and Medical Device compliance requirements
• 7+ years of Data Science and/or Data Engineering experience
• Expertise in Python, Databricks, and large-scale data ingestion and processing
• Experience building advanced analytics solutions for:
• Quality data
• Manufacturing data
• Failure analysis
• Defect detection and trend analysis
• Experience developing and deploying AI/ML models in regulated environments
• MES (Manufacturing Execution Systems) experience
Preferred Qualifications:
• Experience integrating and deploying Large Language Models (LLMs)
• Hands-on experience with Claude AI or similar GenAI platforms
• Experience with Agentic AI workflows and intelligent automation solutions






