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Remote Bioinformatics Machine Learning Jobs in Cincinnati, OH

ITW Pro Brands

Applications Engineer Mold Release

OH · On-site +1

Remote Company Overview: ITW Pro Brands is a manufacturer of lubricants, cleaning chemicals, and ... Shared risk : collaborating as a team, taking joint responsibility, and learning from trial and ...

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All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Cincinnati, OH

Remote Bioinformatics Machine Learning information

See Cincinnati, OH salary details

$57.1K

$90.6K

$143.4K

How much do remote bioinformatics machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote bioinformatics machine learning in Cincinnati, OH is $90,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $124,300.00 per year, depending on experience, location, and employer.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote bioinformatics machine learning specialist?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Cincinnati, OH?

The most popular types of Bioinformatics Machine Learning jobs in Cincinnati, OH are:

What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Cincinnati, OH?

For Remote Bioinformatics Machine Learning jobs in Cincinnati, OH, the most frequently searched job titles are:

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

The top searched job categories for Remote Bioinformatics Machine Learning jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Cincinnati, OH with the most Remote Bioinformatics Machine Learning job openings:

Remote Bioinformatics Machine Learning jobs near you

Regional Account Manager, Additive Manufacturing

Cincinnati, OH • Remote

Phillips Corporation
Oil and Gas Extraction • 10K+ employees
Learn more about Phillips Corporationexternal

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Phillips 66 rating

7.4

Company rating: 7.4 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

48th of 87 rated oil and gas companies

Job description

Are you a revenue generator, a strategist, and an additive manufacturing authority ready to reshape how regional OEMs, contract manufacturers, and academic powerhouses produce the future? As a Regional Account Manager at Phillips Corporation, you won't just hit targets; you will shatter them by executing high-impact business plans, mastering regional market trends, and delivering consultative ROI models using deep Excel proficiency and sharp CRM execution. You’ll be on the move (80–100% travel), establishing elite strategic partnerships, hunting down untapped revenue streams, and guiding high-stakes customer projects from initial engagement to flawless delivery. With your 5+ years of industrial machinery sales experience, technical agility, and a relentless commitment to expanding market share, this is your platform to lead.

To thrive here, you must embody the Phillips commitment to high performance results, true team collaboration, and a thirst for process improvement and continuous learning. Armed with advanced virtual presentation tools and deep data-analysis capabilities, you will translate complex technical offerings into game-changing productivity gains for our clients. In return, you’ll join a forward-thinking leadership ecosystem that values high-energy ownership, continuous skill development, and the rewards of sustained year-over-year territory growth.

Phillips offers a world-beating collaborative culture and competitive pay and benefits. In our 65 year history, Phillips has grown from a handful of employees to over 900 supplying and supporting manufacturing technology in the United States and around the world. Compensation at Phillips is based on the market and your individual level of contribution. The expected pay range for a qualified person in this role is between $100,000.00 and $125,000.00 annually plus commission. If you have a different suggestion, please mention it in your application.

Phillips Corporation is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Phillips Corporation is an E-Verify participant. 

Requirements

  • 5+ years of sales experience in Additive Manufacturing
  • Excellent scope of the mid-west region and the potential customers it contains.
  • Ability to travel regionally (80%-100% travel).

Computer Skills:                                                 

  • Microsoft Office Suite (Required): Advanced proficiency in Excel (forecasting, ROI analysis, pipeline tracking),
  • CRM Software (Preferred): Experience with Microsoft Dynamics 365, Salesforce, HubSpot, or similar platforms for opportunity management, forecasting, activity tracking, and account planning.
  • Data Analysis & Reporting: Ability to analyze sales data, generate forecasts, track KPIs, and develop actionable insights using Excel or CRM reporting tools.
  • Virtual Communication & Presentation Tools: Proficiency with Microsoft Teams, Zoom, and WebEx for customer meetings, technical presentations, and remote collaboration.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Car and cell phone allowance
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home

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