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Remote Biomedical Machine Learning Jobs in Milford, OH

ERP Suites

AI & Mobile Product Manager

Loveland, OH · Remote

Although the position will be remote, there might be some occasional travel to ERP Suites ... AI, machine learning, generative AI, and automation concepts * Customer discovery and use case ...

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

Although the position will be remote, there might be some occasional travel to ERP Suites ... Core Competencies: • Product strategy and roadmap development • AI, machine learning ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Worldpay

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ...

Commercial Alliance

Product Owner

Loveland, OH · On-site +1

Experience with artificial intelligence (AI) and machine learning (ML), including exposure to AI ... Flexible work schedule and remote work options (if applicable). If you are a strategic thinker with ...

Medpace, Inc.

Oncology Project Manager

Cincinnati, OH · On-site +1

... and/or remote biosensing technology data management; * Utilize study management tools to track ... Advanced degree with a focus in oncology, cell biology, biomedical engineering, physics or related ...

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Remote Biomedical Machine Learning information

See Milford, OH salary details

$13

$24

$33

How much do remote biomedical machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote biomedical machine learning in Milford, OH is $24.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $28.03 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a biomedical machine learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a remote biomedical machine learning specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What is a remote biomedical machine learning job?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What job categories do people searching Remote Biomedical Machine Learning jobs in Milford, OH look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Milford, OH are:

What cities near Milford, OH are hiring for Remote Biomedical Machine Learning jobs?

Cities near Milford, OH with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you
Infographic showing various Remote Biomedical Machine Learning job openings in Milford, OH as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $51,604 per year, or $24.8 per hour.

Post Doc Fellow, Department of Biomedical Engineering

University of Cincinnati

Cincinnati, OH • On-site, Remote

$47K - $63K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

University Of Cincinnati rating

7.4

Company rating: 7.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

337th of 618 rated colleges and universities

Job description

Current UC employees must apply internally via SuccessFactors 

Next Lives at the University of Cincinnati

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 53,600 students, 12,000 faculty and staff, and over 360,000 living alumni, UC, a Carnegie 1 institution, combines research prowess with a physical setting The New York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu. 

UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service.  We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success. 

Job Overview

The University of Cincinnati, College of Engineering and Applied Science invites applications for a  postdoctoral fellow with expertise in biomedical engineering, engineering education, or biomedical engineering education with demonstrated experience in conducting research in engineering education with a focus on biomedical engineering, including teaching and learning in biomedical engineering contexts, curriculum development, student learning, or engineering workforce preparation.

The incumbent will conduct research and/or analyze research data and ensure that all research needs are appropriately met following the policies and procedures of the University of Cincinnati.

The position is for two (2) years with the possibility for extension based on qualifications, and performance on the project(s). Remote work arrangements may be available and/or subject to change in accordance with university policies.

Essential Functions
  • Conduct research in engineering education within the pre-determined research scope and methodology set by the Principal Investigator.
  • Gather and analyze data and develop new ideas that promote current research.
  • Prepare data summaries, reports, manuscripts and presentations of research results.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentation; may assist in grant writing.
  • Keep informed of developments in field to maintain and enhance professional expertise.
  • May teach research approaches to others, train, and mentor junior research staff, including undergraduate research assistants.
  • Engage in appropriate training and professional development opportunities.
  • Play an active role in seeking career and research advice, both from the faculty supervisor and from other faculty members as well.
  • Perform related duties based on departmental need. This job description can be changed at any time.
Minimum Requirements

The position requires a Ph.D. (prior to effective date of appointment) in biomedical engineering, engineering education, or biomedical engineering education with demonstrated experience in biomedical engineering education contexts.

Required Experience

The ideal candidate will have in-depth knowledge of curriculum development and workshop facilitation in higher education spaces, as well as experience in asset-based and community-based research approaches. The candidates will also have demonstrated experience in quantitative and qualitative research.

Physical Requirements/Work Environment
  • Office environment/no specific unusual physical or environmental demands.
Application Process Information

Interested candidates should upload a detailed CV demonstrating education/training, qualifications and list of publications, in addition to a research statement/research plan (2 pages maximum).

Compensation and Benefits

UC offers an exceptional benefits package designed to support your well-being, financial security, and work-life balance. (UC Benefits) Eligibility may vary by position and FTE status. Highlights include:

Comprehensive Tuition Remission

UC provides tuition remission for you and your eligible dependents, covering tuition costs for nearly all undergraduate and graduate programs offered by the university.

Robust Retirement Plans

As a UC employee, you won’t contribute to Social Security (except Medicare). Instead, you’ll choose between state pension plans (OPERS, STRS) or an Alternative Retirement Plan (ARP), with UC contributing 14–18% of your salary based on position.

Real Work-Life Balance

UC prioritizes work-life balance with a generous time-off policy, including:

Vacation and sick time

11 paid holidays and additional end-of-year paid time off (Winter Season Days)

6 weeks of paid parental leave for new parents

Additional Benefits Include:

  • Competitive salary based on experience
  • Comprehensive health coverage (medical, dental, vision, prescription)
  • Flexible spending accounts & wellness programs
  • Professional development & mentorship opportunities

To learn more about why UC is a great place to work, please visit our Careers Page.

UC is an E-Verify employer.  If hired into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment verification process. Click here for a list of acceptable documents.  

Important: To apply you must create a profile and submit a complete job application through the UC applicant portal. We are unable to consider “easy apply” applications submitted via other websites. For questions about the UC recruiting process or to request accommodations with the application, please contact UC HR at jobs@uc.edu.

Equal Opportunity Employer.  Building a workplace where all qualified applicants will receive consideration for employment, including Individuals with Disabilities and Protected Veterans.

REQ: 102657

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