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Medical Device Data Scientist Jobs (NOW HIRING)

... data scientist who work closely with other Data and Analytics, AI engineers, Data Engineers ... medical device data, omics data. * Champion feasibility and AI Solutions best practices, review AI ...

We are seeking Data Scientist II with strong science application skills to join our Device Economics team. This role will focus primarily on Amazon's innovative devices and services (e.g. Echo Family ...

We are seeking Data Scientist II with strong science application skills to join our Device Economics team. This role will focus primarily on Amazon's innovative devices and services (e.g. Echo Family ...

Learn more at Johnson & Johnson MedTech Surgery is seeking an experienced Senior Data Scientist, Service Innovation, to advance the service data strategy for connected medical device platforms. This ...

Learn more at Johnson & Johnson MedTech Surgery is seeking an experienced Senior Data Scientist, Service Innovation, to advance the service data strategy for connected medical device platforms. This ...

Medical Device Assembler

Irvine, CA ยท On-site

$17 - $19/hr

Medical Device Assembler Location: Irvine, CA 92614 Employment Type: W2 Contract | 6 Months with ... Enter and maintain manufacturing information using electronic data collection systems and ...

$125 - $150/hr

Experience working with health care, medical device or other highly regulated data environments ... Boston Scientific transforms lives through innovative medical technologies that improve the health ...

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Medical Device Assembler

Irvine, CA ยท On-site

$17 - $19/hr

Medical Device Assembler Location: Irvine, CA 92614 Employment Type: W2 Contract | 6 Months with ... Enter and maintain manufacturing information using electronic data collection systems and ...

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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 8, 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 Scientist

Coral Springs, FL โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

  • High School Diploma or equivalent
  • The ability to fluently read, write, understand and communicate in English
  • 3 years of relevant experience, medical device industry or equivalent industry experience is preferred

Preferred Requirements:

  • Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base
  • Good working knowledge in ML algorithm development using image-based data and image processing is desirable
  • Ability to conduct experiments to collect data and/or to support algorithm development
  • Advanced expertise in software and other applications used by data scientist for algorithm development
  • Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners
  • Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams
  • Well-developed organizational skills and the ability to manage several projects simultaneously