Beacon Hill

Data Scientist (Medical Device)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Medical Device) focused on post-market surveillance and risk analytics. It offers a remote position (PST) with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 7+ years in data science, including 3+ years in medical devices, and expertise in advanced statistics, machine learning, and large datasets.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
June 23, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Diego, CA
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🧠 - Skills detailed
#Database Infrastructure #Risk Analysis #Project Management #Classification #Data Analysis #Data Science #Business Analysis #Databricks #"ETL (Extract #Transform #Load)" #PySpark #Clustering #Datasets #Statistics #Spark (Apache Spark) #Big Data #Data Processing #ML (Machine Learning) #Quality Assurance #Predictive Modeling #SQL (Structured Query Language) #SAP #Programming #NLP (Natural Language Processing)
Role description
Senior Data Scientist - Medical Device (Post-Market & Risk Analytics) Location: Remote (PST) Position Overview We are seeking an experienced Senior Data Scientist to support advanced analytics initiatives across post-market surveillance, manufacturing, supplier quality, and product design within a regulated medical device environment. This role focuses on identifying systemic failure patterns, conducting root cause analysis, and delivering data-driven insights to improve product reliability and reduce operational risk. Key Responsibilities β€’ Analyze and correlate post-market data (e.g., complaints, product usage, field performance) with: β€’ Manufacturing processes β€’ Supplier quality metrics β€’ Product design factors β€’ Identify failure trends and translate findings into actionable recommendations β€’ Lead end-to-end root cause analysis using both structured and unstructured data β€’ Develop and apply machine learning and statistical models to detect patterns and risks β€’ Work with unstructured data (e.g., text, product usage, or behavioral data) to extract insights β€’ Deliver proactive analytics to support: β€’ Risk detection β€’ Product quality improvements β€’ Operational decision-making β€’ Partner closely with cross-functional teams including engineering, quality, manufacturing, and business stakeholders β€’ Support audit readiness and data-driven regulatory initiatives Required Qualifications β€’ 7+ years of experience in data science, machine learning, or advanced analytics β€’ 3+ years of experience within medical device or regulated manufacturing environments (non-clinical; must be product, quality, or post-market focused) β€’ Strong understanding of quality systems, regulatory expectations, or post-market processes Core Technical Skills β€’ Advanced Statistics β€’ Statistical modeling, hypothesis testing, experimental design β€’ Machine Learning / Analytics β€’ Predictive modeling, clustering, classification β€’ Data Platforms β€’ Experience working in Databricks or similar big data environments β€’ Strong SQL and data processing skills (Spark/PySpark preferred) β€’ Data Handling β€’ Experience working with large-scale and unstructured datasets Domain Experience (Required - Medical Device) β€’ Post-market surveillance and complaint data analysis β€’ Root cause investigation and failure analysis β€’ Product quality and design-related analytics β€’ Operational risk analysis and trend identification Nice to Have β€’ Experience with SAP or manufacturing/quality data systems β€’ Exposure to supplier quality or production data β€’ Experience with NLP or text analytics Desired Skills and Experience Senior Data Scientist - Medical Device (Post-Market & Risk Analytics) Location: Remote (PST) Position Overview We are seeking an experienced Senior Data Scientist to support advanced analytics initiatives across post-market surveillance, manufacturing, supplier quality, and product design within a regulated medical device environment. This role focuses on identifying systemic failure patterns, conducting root cause analysis, and delivering data-driven insights to improve product reliability and reduce operational risk. Key Responsibilities Analyze and correlate post-market data (e.g., complaints, product usage, field performance) with: Manufacturing processes Supplier quality metrics Product design factors Identify failure trends and translate findings into actionable recommendations Lead end-to-end root cause analysis using both structured and unstructured data Develop and apply machine learning and statistical models to detect patterns and risks Work with unstructured data (e.g., text, product usage, or behavioral data) to extract insights Deliver proactive analytics to support: Risk detection Product quality improvements Operational decision-making Partner closely with cross-functional teams including engineering, quality, manufacturing, and business stakeholders Support audit readiness and data-driven regulatory initiatives Required Qualifications 7+ years of experience in data science, machine learning, or advanced analytics 3+ years of experience within medical device or regulated manufacturing environments (non-clinical; must be product, quality, or post-market focused) Strong understanding of quality systems, regulatory expectations, or post-market processes Core Technical Skills Advanced Statistics Statistical modeling, hypothesis testing, experimental design Machine Learning / Analytics Predictive modeling, clustering, classification Data Platforms Experience working in Databricks or similar big data environments Strong SQL and data processing skills (Spark/PySpark preferred) Data Handling Experience working with large-scale and unstructured datasets Domain Experience (Required - Medical Device) Post-market surveillance and complaint data analysis Root cause investigation and failure analysis Product quality and design-related analytics Operational risk analysis and trend identification Nice to Have Experience with SAP or manufacturing/quality data systems Exposure to supplier quality or production data Experience with NLP or text analytics Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: https://jobs.beaconhillstaffing.com/eeoc/ Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting www.bhsg.com. Benefits Information: Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings. We look forward to working with you. Beacon Hill. Employing the Futureβ„’