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Bioinformatic Remote Jobs (NOW HIRING)

Insmed Incorporated

Design, develop, and maintain bioinformatics pipelines for the analysis of next-generation ... remote role. It can be performed effectively from anywhere while staying connected to your Insmed ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

IBX is seeking a self-motivated bioinformatician with 2-3 years of experience in bioinformatics or ... Hybrid - remote + on-site Additional Information All your information will be kept confidential ...

Natera

Director of Data Science and Bioinformatics

$186K - $232K/yr

Build and define the Bioinformatics function within the Data Science development team, identify ... Remote USA $186,300-$232,900 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

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Bioinformatic Remote information

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$54.5K

$96.2K

$139K

How much do bioinformatic remote jobs pay per year?

As of Aug 25, 2026, the average yearly pay for bioinformatic remote in the United States is $96,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Remote vs Bioinformatics Technician?

AspectBioinformatic RemoteBioinformatics Technician
CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsAssociate's or Bachelor's in Bioinformatics, Biology, or related fields
Work EnvironmentRemote, often from home or flexible locationsLaboratory or office-based, on-site work
Employer & IndustryResearch institutions, biotech companies, academia, often remote rolesHospitals, research labs, biotech firms, typically on-site
Work FocusData analysis, software development, computational researchSample processing, data collection, laboratory tasks

In summary, Bioinformatic Remote roles focus on computational data analysis and software tasks often performed remotely, while Bioinformatics Technicians typically work on laboratory-based sample processing and data collection on-site. Both roles require related credentials but differ mainly in work environment and daily responsibilities.

More about Bioinformatic Remote jobs

What cities are hiring for Bioinformatic Remote jobs?

Cities with the most Bioinformatic Remote job openings:

What are the most commonly searched types of Bioinformatic jobs?

The most popular types of Bioinformatic jobs are:

What states have the most Bioinformatic Remote jobs?

States with the most job openings for Bioinformatic Remote jobs include:

What job categories do people searching Bioinformatic Remote jobs look for?

The top searched job categories for Bioinformatic Remote jobs are:

Bioinformatic Remote jobs near you
Infographic showing various Bioinformatic Remote job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $96,169 per year, or $46.2 per hour.

Senior AI Engineer Bioinformatics (Remote)

Indianapolis, IN • Remote

Marlabs
IT Services • 1 - 5K employees
Learn more about Marlabsexternal

Full-time

Posted 28 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Engineer Bioinformatics to join our innovative and dynamic team.

Senior AI Engineer Bioinformatics | About You

As a Senior AI Engineer Bioinformatics, you are responsible for building modern, datadriven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into highimpact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.

Senior AI Engineer Bioinformatics | Day-to-Day

  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Engineer Bioinformatics | Skills & Experience

  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.