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Remote Machine Learning Engineer Biotech Jobs in Ohio

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement * Assist in modernizing data platforms ...

$91K - $109K/yr

Responsibilities / Tasks The Industrial Data Engineer is responsible for designing, developing, and ... Design data models, relationships, and schemas that support analytics, reporting, machine learning ...

$20 - $60/hr

... engineering, and digital technologies within biotechnology development. * Bring curiosity ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

$20 - $60/hr

... engineering, and digital technologies within biotechnology development. * Bring curiosity ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

$20 - $60/hr

... engineering, and digital technologies within biotechnology development. * Bring curiosity ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

$20 - $60/hr

... engineering, and digital technologies within biotechnology development. * Bring curiosity ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0242678 Location: Dayton,OH,US Share job via: Share AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML) Engineer, you ...

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 41-60

Remote Machine Learning Engineer Biotech information

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

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

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What cities in Ohio are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities in Ohio with the most Remote Machine Learning Engineer Biotech job openings:

Infographic showing various Remote Machine Learning Engineer Biotech job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Remote Sensing OPIR Engineer - SME #899

Dayton, OH • On-site, Remote

Allen Integrated Solutions
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

Full-time

Posted 13 days ago


Job description

Remote Sensing OPIR Engineer - SME #899
Clearance Required: TS/SCI
Minimum Years' Experience: 15 years of experience in EO/IR algorithm development
Dayton, Ohio - 100% onsite
Overall Assignment Description:
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Allen Integrated Solutions is seeking a highly skilled Subject Matter Expert in Overhead Persistent Infrared (OPIR) research engineering to support the National Geospatial-Intelligence Agency (NGA) in infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will possess an extensive technical background in electro-optical/infrared (EO/IR) systems, infrared phenomenology, OPIR data analysis, and remote-sensing software development. This role requires demonstrated experience working with complex sensor systems, leading the development and testing of advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.
Responsibilities
  • Lead the prototyping and development of advanced OPIR data-processing algorithms and support their transition into operational environments.
  • Evaluate and troubleshoot data-processing pipelines, identify anomalies, and coordinate remediation strategies.
  • Support the development of white papers, technical documentation, and technology-transition plans.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies.
Required Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in computer engineering, physics, computer science, or a related technical field.
  • At least 15 years of experience in EO/IR algorithm development.
  • Advanced understanding of EO/IR signal processing, artificial intelligence and machine learning applications, and target-system phenomenology.
  • Detailed experience with OPIR data formats and processing pipelines.
  • Advanced Python development skills.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software problems.
Desired Qualifications
  • Direct experience performing OPIR analysis.
  • Master's degree in computer engineering, physics, computer science, or a related technical field.
  • Experience collaborating with NGA, NASIC, or other Intelligence Community organizations.