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Medical Device Data Scientist Jobs (NOW HIRING)

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Engage in statistical and exploratory analysis of datasets from medical device data * Experience in ...

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Medical Device Assembler

Temecula, CA · On-site

$18 - $19.25/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Medical Device Assembler

Temecula, CA · On-site

$18 - $19.25/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Join the healthcare information technology team that's turning drug and medical device data into ... Associate degree in MIS, CIS, Computer Science, or related field; equivalent professional ...

Showing results 21-40

Medical Device Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do medical device data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for medical device data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a medical device data scientist do?

A Medical Device Data Scientist analyzes data generated from medical devices to improve device performance, patient outcomes, and regulatory compliance. They work with large datasets, develop algorithms, and use statistical techniques to extract meaningful insights from device data. Their role often includes collaborating with engineers, clinicians, and regulatory teams to ensure devices are safe, effective, and continuously improving through data-driven decisions. This position requires expertise in data analysis, machine learning, and a strong understanding of healthcare regulations and standards.

What are the key skills and qualifications needed to thrive as a medical device data scientist?

To thrive as a Medical Device Data Scientist, you need strong expertise in data analysis, machine learning, and statistics, typically supported by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with regulatory standards such as FDA or ISO are essential. Exceptional problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable solutions for cross-functional teams. These skills and qualities are crucial for ensuring data-driven innovation, regulatory compliance, and patient safety in medical device development.

How does a medical device data scientist typically collaborate with cross-functional teams during product development?

Medical Device Data Scientists frequently work alongside engineers, clinicians, regulatory specialists, and product managers to ensure that data-driven insights enhance device performance and meet compliance standards. Collaboration often involves translating clinical needs into data requirements, developing algorithms, and validating models with real-world data. Open communication and regular meetings are essential, as data scientists must explain complex analyses in accessible terms and incorporate feedback from both technical and non-technical stakeholders. This collaborative approach not only accelerates innovation but also ensures that devices are safe, effective, and user-friendly.

What cities are hiring for Medical Device Data Scientist jobs?

Cities with the most Medical Device Data Scientist job openings:

What states have the most Medical Device Data Scientist jobs?

States with the most job openings for Medical Device Data Scientist jobs include:

What are popular job titles related to Medical Device Data Scientist jobs?

For Medical Device Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Medical Device Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Analyst

New Brighton, MN • On-site

Tactile Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees

Full-time

Re-posted 24 days ago


Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

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