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
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💰 - Day rate
Unknown
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🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - 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