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Remote Bioinformatics Machine Learning Jobs in Erlanger, KY

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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 Aug 8, 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?

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

[US] IT Systems Implementation Engineer

Benchmark Gensuite

Cincinnati, OH • Remote

Other

Re-posted 12 days ago

Job description

Salary:

IT Systems Implementation Engineer

Data Integration, Analytics & Agentic AI Solutions

Full Time
Remote - US

Reports to: Director of Product Implementation and Enablement


Innovate with Benchmark Gensuite as an IT Systems Implementation Engineer
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, youll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world a better place for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives.
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly recognize and reward excellent performers. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite


Benchmark Gensuite enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platformlocally, globally, and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

About the Role:


Benchmark Gensuite is seeking a hands-on IT Systems Implementations Engineer to serve as the technical delivery owner for Subscriber-facing integration and AI implementation projects. This is a customer-facing, high-impact role for a professional who combines strong engineering instincts with the communication skills to work confidently alongside enterprise IT teams.

You will lead end-to-end delivery of systems integration projectsfrom technical discovery through go-liveworking directly with Subscriber IT organizations to define requirements, design solutions, and drive implementation. A key emerging focus of this role is the deployment of Agentic AI solutions within Subscriber environments, enabling intelligent workflow automation on top of our SaaS platform. This role carries a clear growth path toward a Forward Deployed Engineer position for the right candidate.


Key Responsibilities:


Subscriber Engagement & Technical Discovery

  • Serve as the primary technical implementation contact for Subscriber IT teams across integration, analytics, and AI deployment engagements.
  • Lead technical discovery sessions to elicit, document, and validate integration and automation requirements.
  • Build trusted working relationships with Subscriber stakeholders ranging from IT managers and system administrators to enterprise architects.
  • Translate complex, ambiguous customer requirements into clear and actionable engineering specifications.


Systems Integration & Implementation

  • Own end-to-end delivery of systems integration projects including HR data synchronization, Single Sign-On (SSO/SAML/SCIM) implementations, application-specific data migrations, and API-driven record updates.
  • Design and document data mapping specifications, API integration flows, and system architecture diagrams.
  • Configure, test, and validate integrations in collaboration with Subscriber IT teams and internal Engineering.
  • Troubleshoot integration failures, data discrepancies, and connectivity issues across implementation phases.
  • Manage project scope, timelines, risks, and stakeholder communications across concurrent Subscriber engagements.


Agentic AI Solution Deployment

  • Partner with internal Engineering and Product teams to implement Agentic AI capabilities within subscriber instances.
  • Engage Subscriber IT teams to assess workflow automation opportunities and define requirements for AI agent implementations.
  • Support configuration, testing, and rollout of AI-driven automation solutions including intelligent data processing, decision support agents, and workflow orchestration.
  • Stay current on emerging Agentic AI platforms, frameworks, and SaaS integration patterns relevant to the enterprise EHS and compliance domain.
  • Serve as a knowledgeable resource to Subscribers navigating their AI adoption journey, helping them understand capabilities, limitations, and best practices.


Documentation & Continuous Improvement

  • Maintain comprehensive project documentation including requirements specs, integration design documents, test plans, and go-live runbooks.
  • Contribute to internal knowledge bases, reusable integration templates, and implementation playbooks.
  • Provide structured feedback to Product and Engineering teams based on Subscriber implementation experiences.


Required Qualifications

  • 35 years of experience in a systems implementation, solutions engineering, IT integration, or technical consulting role.
  • Solid working knowledge of systems integration concepts, RESTful APIs, webhooks, and data workflow design.
  • Hands-on experience with one or more of the following: SSO/SAML/SCIM protocols, HRIS platform integrations (e.g., Workday, ADP, SAP SuccessFactors), ETL pipelines, or enterprise data migration projects.
  • Experience deploying or configuring AI-driven automation within enterprise SaaS platforms.
  • Demonstrated ability to lead technical conversations and communicate complex concepts clearly to both technical and non-technical audiences.
  • Proven ability to manage multiple concurrent customer-facing implementation projects with competing timelines.
  • Strong documentation skillscomfortable producing requirements specs, data maps, API specs, and integration design artifacts.
  • Proficiency with project tracking and collaboration tools such as Jira, Confluence, Asana, or equivalent.


Preferred Qualifications

  • Exposure to Agentic AI platforms, LLM-based workflow automation, or AI agent frameworks (e.g., LangChain, AutoGen, CrewAI, or vendor-native AI agents in enterprise SaaS).
  • Familiarity with AI orchestration concepts such as tool use, retrieval-augmented generation (RAG), prompt chaining, and multi-agent coordination.
  • Familiarity with iPaaS platforms such as MuleSoft, Workato, Dell Boomi, or similar.
  • Working knowledge of API testing tools such as Postman or Swagger.
  • Basic scripting or query skills (SQL, Python, or similar) for data validation and troubleshooting.
  • Exposure to EHS, compliance, or workforce management software platforms.
  • PMP, CAPM, or equivalent project management certification.


Career Growth:

This role is designed to grow with you. High-performing candidates will have the opportunity to advance into a Forward Deployed Engineer roletaking on deeper technical ownership of integration architecture, Agentic AI implementations, custom development, and strategic Subscriber partnerships.


Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.

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