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Remote Biomedical Machine Learning Jobs in Ohio (NOW HIRING)

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH · On-site +1

$65.25 - $87.50/hr

Familiarity with machine learning and data science concepts Benefits * Fully Remote work-from-home Flexibility * Comprehensive Health Benefits * Generous paid vacation/ Time-Off-Program * 401(k) with ...

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Biomedical Machine Learning information

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 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 remote biomedical machine learning jobs?

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 Ohio look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Remote Biomedical Machine Learning jobs? Cities in Ohio with the most Remote Biomedical Machine Learning job openings:
Infographic showing various Remote Biomedical Machine Learning job openings in Ohio as of May 2026, with employment types broken down into 4% Full Time, 94% Part Time, and 2% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution.
AI/ML Software Developer

AI/ML Software Developer

Maximus

Cleveland, OH • Remote

Full-time

Medical, Life, Retirement, PTO

Posted 2 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems

- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management

- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts

- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices

- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment

- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies

- Supports system accreditation, documentation, testing, and evaluation activities

- Collaborates with Government and contractor teams across development, integration, and readiness environments

- Participates in Agile program increment (PI) planning and activities requiring periodic travels

Job-Specific Minimum Requirements:

- Active Secret security clearance required

- Bachelor’s degree in related field required
- A Master’s degree may substitute for 2 years of experience
- 5 years of experience in the functional area

- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

- 3 years of experience testing web-based applications.

- 3 years of experience participating in software development programs or projects.

- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

- 5 years of experience with Jenkins and GitLab.

- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

- Experience using Agile Test-Driven Development

- Experience integrating into DoD DevSecOps environments

- 5 years of experience with CI/CD software development

- Experience supporting RMF accreditation and security assessment activities

- Experience with model monitoring, explainability, and Responsible AI practices

- Experience integrating AI/ML services into operational dashboards or decision support platforms

#techjobs #clearance #veteranspage # USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$

110,000.00

Maximum Salary

$

145,000.00


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