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Remote Bioinformatics Machine Learning Jobs in Erlanger, KY

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 ... Expertise in machine learning, statistical modeling, and data analysis , strong experience ...

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 ...

Smart Data

2106 Platform Engineer IV

Cincinnati, OH · Remote

$148K - $165K/yr

REMOTE EST/CST Years of Experience: 5-20 TOP SKILLS: Must Have * Java 8-12 * Springboot * Kafka ... Building tools and processes to support analytics, monitoring, machine-learning and data ...

Accenture

SAP Solution Architect - Mid Market

Cincinnati, OH · Remote

$79 - $106.25/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * ...

New

Saratech

CAD Application Engineer

Cincinnati, OH · Remote

$90K - $130K/yr

Remote Company Overview: From start-ups to blue-chips, Saratech (saratech.com) helps companies ... machinery. We are seeking highly skilled and motivated CAD Application Engineers to join our ...

All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Erlanger, KY

Remote Bioinformatics Machine Learning information

See Erlanger, KY salary details

$58.7K

$93.1K

$147.4K

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

As of Jul 31, 2026, the average yearly pay for remote bioinformatics machine learning in Erlanger, KY is $93,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,700.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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.

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 cities near Erlanger, KY are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Erlanger, KY with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you

Senior GCP Engineer with Vertex AI and MLOps - Remote (US)

Saransh Inc

Cincinnati, OH • Remote

$107K - $146K/yr

Contractor

Re-posted 11 days ago

Job description

Senior GCP Engineer with Vertex AI and MLOps
Remote (Cincinnati, OH)
Contract
 
Required:
  • Senior GCP engineer with atleast 7 years on project experience.
  • Worked with Vertex AI and ML/Ops.
  • Can work independently with the data science team. 
  • Overall Communication needs to be good.
Description:
  • As a Sr. Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization.
  • You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset.
  • A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities:

  • Provide Technical Leadership
  • Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.
  • Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.
  • Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.
  • Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.
  • Optimize Data Workflows
  • Mentor Team Members
  • Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.
  • Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions