Remote Biomedical Technician Jobs
Remote Biomedical Technician jobs are in active demand across the U.S., with remote-first firms and distributed healthcare technology teams posting openings for technicians who can support medical device operations, quality assurance, and technical documentation without being on-site. Employers hiring remotely right now include Tunnell Government Services, Handshake, and Medtronic. See the openings below and apply to the ones that match your experience.
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In this role, you will work full-time providing data analysis and computational support for data-driven efforts to evaluate and improve the MEDLINE indexing product. Working under the technical direction and oversight of the Senior Biomedical Data Analyst and within established analytical approaches, you will support the processing, preparation, validation, and analysis of datasets, including PubMed web search and API user log data, used to evaluate MeSH vocabulary and automated MeSH indexing algorithm performance. You will assist with analyses of indexing performance and user search behavior and contribute to the development of data products, reports, and other analytical outputs used to inform improvements to MEDLINE indexing.
Work performed by the Biomedical Data Analyst is subject to technical review and quality assurance by the Senior Biomedical Data Analyst. The Biomedical Data Analyst shall incorporate feedback, make necessary corrections, and maintain analytical code, documentation, and work products in accordance with established methodologies, technical standards, and quality requirements.
This is a remote position.
Job Responsibilities
- Support quantitative analyses evaluating automatic MeSH indexing and its impact on MEDLINE and PubMed users.
- Prepare and process PubMed GUI, API, user search and click, bibliographic, indexing, and other relevant datasets for analysis.
- Develop and execute scripts for data extraction, cleaning, transformation, aggregation, validation, and analysis using established analytical methods and requirements.
- Assist with the development, execution, testing, and maintenance of reproducible data processing and analytical workflows.
- Perform exploratory data analysis and apply established statistical and quantitative methods to identify patterns, trends, anomalies, and relationships in data.
- Calculate and report established performance measures used to evaluate automated MeSH indexing, vocabulary performance, and related MEDLINE processes.
- Conduct data quality checks and investigate missing, inconsistent, anomalous, or unexpected data and analytical results.
- Assist the Senior Biomedical Data Analyst with analyses of PubMed user behavior and other data used to identify potential opportunities for improvements to automated indexing algorithms, MeSH vocabulary, or related processes.
- Develop tables, charts, summaries, and other analytical outputs to communicate findings.
- Document code, data processing steps, analytical procedures, data quality issues, results, and other information necessary to support reproducibility and technical review.
- Submit analyses, code, calculations, documentation, visualizations, and other work products for review and quality assurance by the Senior Biomedical Data Analyst.
- Address findings identified during technical review and quality assurance, including correcting code, data processing procedures, calculations, documentation, or analytical outputs as necessary.
- Follow established analytical methodologies, coding practices, documentation requirements, and quality control procedures.
- Participate in the review and interpretation of analytical findings and assist in preparing results for technical and program stakeholders.
- B.S.-level or higher education in data science, computer science, statistics, mathematics, bioinformatics, computational biology, information science, engineering, or a related quantitative or computational field.
- Five (5) years of experience in data analysis, data science, computational analysis, statistics, or a related quantitative field.
- Proficiency in at least one data analysis/programming language, preferably Python (pandas) or R (tidyverse/dplyr).
- Experience preparing and analyzing structured datasets, including data cleaning, transformation, aggregation, validation, and exploratory analysis.
- Knowledge of fundamental statistical and quantitative methods used to summarize data, evaluate patterns, and compare results.
- Ability to develop, modify, execute, test, and troubleshoot scripts used for data processing and analysis.
- Ability to follow established analytical methodologies, technical requirements, and quality control procedures and produce accurate, reproducible results.
- Ability to identify and investigate data quality issues, unexpected results, and potential analytical errors.
- Ability to document analytical procedures and findings clearly and prepare work products for technical review and quality assurance.
- Ability to incorporate technical review comments and make appropriate corrections or revisions to analytical work products.
- Ability to work collaboratively under the technical direction of senior analytical staff and communicate questions, issues, and findings effectively.
- Proficiency in Microsoft Excel, SharePoint, Teams, and Jira.
- Ability to obtain Public Trust clearance.
- Knowledge of or experience working with biomedical, scientific, bibliographic, web usage, application, API, or user log data.
- Familiarity with biomedical databases, especially PubMed/MEDLINE.
- Familiarity with MeSH, controlled vocabularies, MEDLINE indexing, automated indexing, or biomedical information retrieval.
- Familiarity with typical practices in biomedical publishing, types of scientific publications, components of citations, and basic bibliographic data.
- Experience constructing database queries, preferably in PubMed/MEDLINE, using Boolean operators, search fields, search filters, or other advanced search features.
- Familiarity with data visualization techniques and tools for presenting quantitative results.
- Familiarity with version control, reproducible analytical workflows, or collaborative software development and data analysis practices.
The anticipated salary range for this position is $110,000–$135,000 annually. The starting salary within this range will be based on relevant experience, qualifications, and skills.
Computercraft offers an excellent benefits package that includes health, dental, vision, and disability and life insurance; a 401(k) plan with matching; paid leave starting at 128 hours/year for the first 3 years of employment; and 11 paid holidays. We also offer the opportunity for a positive work–life balance with a standard 40-hour work week and the chance to work alongside a team of highly accomplished professionals.
To learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.
EEO Employer – Disability/Veteran/Race/Color/Religion/Sex/National Origin/Genetic Information
XGX5ImT8kw
In this role, you will work full-time providing data analysis and computational support for data-driven efforts to evaluate and improve the MEDLINE indexing product. Working under the technical direction and oversight of the Senior Biomedical Data Analyst and within established analytical approaches, you will support the processing, preparation, validation, and analysis of datasets, including PubMed web search and API user log data, used to evaluate MeSH vocabulary and automated MeSH indexing algorithm performance. You will assist with analyses of indexing performance and user search behavior and contribute to the development of data products, reports, and other analytical outputs used to inform improvements to MEDLINE indexing.
Work performed by the Biomedical Data Analyst is subject to technical review and quality assurance by the Senior Biomedical Data Analyst. The Biomedical Data Analyst shall incorporate feedback, make necessary corrections, and maintain analytical code, documentation, and work products in accordance with established methodologies, technical standards, and quality requirements.
This is a remote position.
Job Responsibilities
- Support quantitative analyses evaluating automatic MeSH indexing and its impact on MEDLINE and PubMed users.
- Prepare and process PubMed GUI, API, user search and click, bibliographic, indexing, and other relevant datasets for analysis.
- Develop and execute scripts for data extraction, cleaning, transformation, aggregation, validation, and analysis using established analytical methods and requirements.
- Assist with the development, execution, testing, and maintenance of reproducible data processing and analytical workflows.
- Perform exploratory data analysis and apply established statistical and quantitative methods to identify patterns, trends, anomalies, and relationships in data.
- Calculate and report established performance measures used to evaluate automated MeSH indexing, vocabulary performance, and related MEDLINE processes.
- Conduct data quality checks and investigate missing, inconsistent, anomalous, or unexpected data and analytical results.
- Assist the Senior Biomedical Data Analyst with analyses of PubMed user behavior and other data used to identify potential opportunities for improvements to automated indexing algorithms, MeSH vocabulary, or related processes.
- Develop tables, charts, summaries, and other analytical outputs to communicate findings.
- Document code, data processing steps, analytical procedures, data quality issues, results, and other information necessary to support reproducibility and technical review.
- Submit analyses, code, calculations, documentation, visualizations, and other work products for review and quality assurance by the Senior Biomedical Data Analyst.
- Address findings identified during technical review and quality assurance, including correcting code, data processing procedures, calculations, documentation, or analytical outputs as necessary.
- Follow established analytical methodologies, coding practices, documentation requirements, and quality control procedures.
- Participate in the review and interpretation of analytical findings and assist in preparing results for technical and program stakeholders.
- B.S.-level or higher education in data science, computer science, statistics, mathematics, bioinformatics, computational biology, information science, engineering, or a related quantitative or computational field.
- Five (5) years of experience in data analysis, data science, computational analysis, statistics, or a related quantitative field.
- Proficiency in at least one data analysis/programming language, preferably Python (pandas) or R (tidyverse/dplyr).
- Experience preparing and analyzing structured datasets, including data cleaning, transformation, aggregation, validation, and exploratory analysis.
- Knowledge of fundamental statistical and quantitative methods used to summarize data, evaluate patterns, and compare results.
- Ability to develop, modify, execute, test, and troubleshoot scripts used for data processing and analysis.
- Ability to follow established analytical methodologies, technical requirements, and quality control procedures and produce accurate, reproducible results.
- Ability to identify and investigate data quality issues, unexpected results, and potential analytical errors.
- Ability to document analytical procedures and findings clearly and prepare work products for technical review and quality assurance.
- Ability to incorporate technical review comments and make appropriate corrections or revisions to analytical work products.
- Ability to work collaboratively under the technical direction of senior analytical staff and communicate questions, issues, and findings effectively.
- Proficiency in Microsoft Excel, SharePoint, Teams, and Jira.
- Ability to obtain Public Trust clearance.
- Knowledge of or experience working with biomedical, scientific, bibliographic, web usage, application, API, or user log data.
- Familiarity with biomedical databases, especially PubMed/MEDLINE.
- Familiarity with MeSH, controlled vocabularies, MEDLINE indexing, automated indexing, or biomedical information retrieval.
- Familiarity with typical practices in biomedical publishing, types of scientific publications, components of citations, and basic bibliographic data.
- Experience constructing database queries, preferably in PubMed/MEDLINE, using Boolean operators, search fields, search filters, or other advanced search features.
- Familiarity with data visualization techniques and tools for presenting quantitative results.
- Familiarity with version control, reproducible analytical workflows, or collaborative software development and data analysis practices.
The anticipated salary range for this position is $110,000–$135,000 annually. The starting salary within this range will be based on relevant experience, qualifications, and skills.
Computercraft offers an excellent benefits package that includes health, dental, vision, and disability and life insurance; a 401(k) plan with matching; paid leave starting at 128 hours/year for the first 3 years of employment; and 11 paid holidays. We also offer the opportunity for a positive work–life balance with a standard 40-hour work week and the chance to work alongside a team of highly accomplished professionals.
To learn about other Computercraft job opportunities, please visit the Careers section of our website: https://www.computercraft-usa.com/.
EEO Employer – Disability/Veteran/Race/Color/Religion/Sex/National Origin/Genetic Information
XGX5ImT8kw
See All 7 Remote Biomedical Technician Jobs
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Find JobsRemote Biomedical Technician Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote biomedical technician jobs.
- Associate degree in biomedical equipment technology or electronics technology
- Experience servicing patient monitoring, infusion pumps, or imaging equipment
- CBET, CRES, or CLES certification from AAMI
- Proficiency with computerized maintenance management systems (CMMS)
- Ability to read and interpret OEM service manuals and schematics
- Valid driver's license for multi-site or field-based service coverage
Tips for Your Remote Biomedical Technician Job Search
Show your ability to work without supervision
Remote employers want proof you can self-direct. In your resume and cover letter, call out instances where you managed a service schedule, completed a repair project independently, or maintained compliance documentation without daily check-ins from a manager.
Build a remote-ready technical documentation sample
Many remote biomedical technician roles rely heavily on written service reports, calibration logs, and equipment records. Put together one or two clean documentation samples that show you can communicate technical findings clearly in writing, since async communication replaces most in-person handoffs.
Apply early to remote roles that fit
Migrate Mate lists remote biomedical technician openings from across the U.S. in one place so you can find roles that match your background and apply directly, without sorting through non-remote listings mixed in from general job searches.
Prepare for async-style remote interviews
Remote hiring processes often include written technical assessments or recorded video responses before a live interview. Practice explaining troubleshooting steps and service decisions in writing so your technical reasoning is clear without the back-and-forth of an in-person conversation.
Remote Biomedical Technician Jobs: Frequently Asked Questions
How do I get a remote biomedical technician job?
Target companies with distributed service teams, medical device manufacturers with field-support models, and healthcare technology firms that manage equipment remotely through software platforms. Remote employers screen for self-direction, clear written communication, and demonstrated ability to troubleshoot without in-person oversight. Candidates with experience documenting service procedures, using remote diagnostic tools, and managing their own schedules consistently stand out in remote hiring pipelines.
Which companies hire remote biomedical technicians?
Employers currently hiring remote biomedical technicians include Tunnell Government Services, Handshake, and Medtronic, per current remote listings on Migrate Mate as of November 2026. Remote biomedical technician roles are most common at medical device companies with distributed service networks, healthcare IT firms, and remote patient monitoring platforms that need technical support staff who can operate independently.
Can you get a remote biomedical technician job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal supervision. Companies most open to entry-level remote candidates include healthcare technology startups and medical device firms that value hands-on project work, relevant certifications like CBET, and demonstrated ability to self-manage through internships, lab coursework, or personal technical projects.
Do you need a degree for remote biomedical technician jobs?
Not always. Many remote employers weigh an associate degree in biomedical equipment technology, electronics, or a related field alongside certifications and practical repair experience rather than requiring a four-year degree. What matters most to remote hiring teams is verified technical competency, familiarity with regulatory documentation standards, and a history of working accurately without direct supervision.
See All 7 Remote Biomedical Technician Jobs
Find roles that match your experience and apply in just a few clicks.
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