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Remote Medical Data Annotation Jobs in Michigan (NOW HIRING)

Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Location: Remote -Chicago, IL, Cleveland, OH, Columbus, OH, Detroit, MI, Indianapolis, IN ... Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

Showing results 21-40

Remote Medical Data Annotation information

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.

What are the key skills and qualifications needed to thrive as a remote medical data annotation specialist?

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

What is the difference between Remote Medical Data Annotation vs Remote Medical Transcription?

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

What are the most commonly searched types of Medical Data Annotation jobs in Michigan?

The most popular types of Medical Data Annotation jobs in Michigan are:

What are popular job titles related to Remote Medical Data Annotation jobs in Michigan?

For Remote Medical Data Annotation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Medical Data Annotation jobs in Michigan look for?

The top searched job categories for Remote Medical Data Annotation jobs in Michigan are:

What cities in Michigan are hiring for Remote Medical Data Annotation jobs?

Cities in Michigan with the most Remote Medical Data Annotation job openings:

Infographic showing various Remote Medical Data Annotation job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 6% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Lead Analyst, Clinical Data Sciences (Remote)

Stryker

Portage, MI • On-site, Remote

$124K - $207K/yr

Full-time

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

Work Flexibility: Remote or Hybrid or Onsite

Stryker is hiring a Lead Analyst, Clinical Data Sciences for our Instruments division. This is a U.S.-based remote position, with preference for candidates located in the Eastern or Central time zones.

Join Stryker Instruments in a role that sits at the intersection of clinical evidence, analytics, and business strategy. This position serves as a key connector between clinical questions and data-driven insights, helping stakeholders across Medical Affairs, Clinical Research, Regulatory Affairs, Reimbursement, Market Access, and commercial teams make informed decisions based on high-quality evidence. As part of a growing Clinical Data Sciences function, you will help establish scalable evidence-management capabilities while shaping how clinical evidence is evaluated and leveraged across the organization.

This role combines evidence strategy, evidence management, and insight generation, partnering closely with technical experts who build data products and automation solutions. The position offers broad exposure across Stryker Instruments' portfolio and supports initiatives that influence product, regulatory, clinical, and investment decisions.

What You Will Do

  • Lead implementation and management of evidence workflows, including systematic review processes, data extraction, quality control, reporting, and evidence repositories.

  • Build and scale evidence-management processes across multiple business units, transforming clinical and regulatory requirements into standardized, repeatable workflows.

  • Translate clinical, regulatory, reimbursement, and business questions into structured analyses and evidence-based recommendations.

  • Generate and interpret insights from clinical literature, real-world evidence, registries, claims data, and other scientific sources.

  • Partner with Medical Affairs, Clinical Research, Regulatory Affairs, Market Access, and business stakeholders to prioritize evidence needs and communicate findings.

  • Support clinical evaluation reports, post-market clinical follow-up activities, publications, scientific communications, and regulatory submissions through evidence synthesis and analytical support.

  • Evaluate clinical evidence across product portfolios, identify evidence gaps, and support prioritization of future evidence-generation investments.

  • Drive continuous improvement by partnering with technical teams to automate evidence workflows, enhance data solutions, and expand adoption of evidence-management tools.

What You Need

Required

  • Bachelor's degree in Life Sciences, Biomedical Engineering, Epidemiology, Health Economics and Outcomes Research (HEOR), Public Health, Data Science, or a related field.
  • Minimum 4 years of experience in clinical evidence, medical affairs analytics, HEOR, epidemiology, clinical research, or data science with clinical application.
  • Experience translating clinical, scientific, regulatory, or business questions into structured analyses and actionable insights.
  • Experience conducting clinical literature reviews, evidence synthesis, systematic reviews, or evidence-management activities.
  • Experience presenting analytical findings and evidence-based recommendations to non-technical stakeholders.

Preferred

  • Advanced degree (MS, MPH, PhD, or equivalent) in Life Sciences, Engineering, Epidemiology, Biostatistics, Public Health, Data Science, or related field.
  • Hands-on experience with DistillerSR, ReadCube, or similar evidence-management platforms.
  • Familiarity with medical device regulatory requirements, including FDA submissions, European Union Medical Device Regulation (EU MDR), Clinical Evaluation Reports (CERs), and Post-Market Clinical Follow-Up (PMCF) activities.
  • Experience with analytics and visualization tools such as Power BI, Tableau, R, Python, or SQL.
  • Experience working with real-world data sources, healthcare claims, registries, or observational datasets.

United States of America Pay Ranges:

  • USN: $95,700 - $159,500 USD Annual
  • US5: $100,500 - $167,500 USD Annual
  • US10: $105,300 - $175,500 USD Annual
  • US15: $110,100 - $183,400 USD Annual
  • US20: $114,800 - $191,400 USD Annual
  • US30: $124,400 - $207,400 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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