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Remote Bioinformatics Machine Learning Jobs in Chester, VA

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Data Architect

Richmond, VA · On-site +1

$63 - $81.25/hr

Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

FP&A Analyst

Richmond, VA · On-site +1

$70K - $80K/yr

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Location: Carlsbad, CA (Hybrid) or Remote Compensation Salary range: $70,000 - $80,000 * High ...

Sr. Staff Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

... deploying machine learning models * 3+ years of experience implementing big data processing ... Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA ...

Actuary, Model Risk

Richmond, VA · On-site +1

$115K - $135K/yr

A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday ... Familiarity with predictive analytics, statistical techniques, or AI/machine learning models

Insurance Agent

Richmond, VA · On-site +1

$30K - $160K/yr

... a machine? If you answered YES to any of those questions, please keep reading. How about TODAY ... Remote work and in-person training opportunities available * Potential to earn a raise every 2 ...

Showing results 21-35

Remote Bioinformatics Machine Learning information

See Chester, VA salary details

$54.8K

$86.9K

$137.6K

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

As of Sep 13, 2026, the average yearly pay for remote bioinformatics machine learning in Chester, VA is $86,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $119,200.00 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.

Infographic showing various Remote Bioinformatics Machine Learning job openings in Chester, VA as of June 2026, with employment types broken down into 7% As Needed, 12% Full Time, 48% Part Time, 6% Temporary, 21% Contract, and 6% Nights. Highlights an 36% Physical, 2% Hybrid, and 62% Remote job distribution, with an average salary of $86,937 per year, or $41.8 per hour.

Senior DevOps Engineer (US REMOTE)

Richmond, VA • Remote

Motorola
Technology, Communication and Media • 10K+ employees

$140K - $170K/yr

Full-time

Medical, Dental, Retirement

Re-posted 21 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe Rave organization within Motorola Solutions is responsible for SaaS products supporting the safety mission of public and private entities. We help our customers engage with responders, households, schools, businesses, employees, students and other stakeholders to deliver critical communications, coordinate response, and exchange life-saving information.
The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola and partner systems. As a team member within the Rave organization, you will be exposed to many other solutions offered by Motorola Solutions, the most trusted name in public safety
Job Description

We're looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a key role in building, maintaining, securing and deploying scalable cloud infrastructure and systems.

Responsibilities:

  • Design, develop, and maintain scalable cloud infrastructure

  • Automate deployment, scaling and monitoring of systems on that infrastructure

  • Collaborate with cross-functional teams to define and implement CI/CD pipelines

  • Build and manage containerized applications

  • Provision and support configuration of relational databases with an emphasis on high availability, security and reliability

  • Monitor, troubleshoot, and optimize system performance and reliability

  • Contribute to the creation and operation of robust disaster recovery and backup strategies

  • Manage developer tooling

  • Ensure compliance with regulatory, compliance and security frameworks

  • (Optionally) develop and support full stack Java-based applications

Required Skills:

  • Citizenship: Must be a US Citizen. This requirement is due to specific U.S. Government Contract Mandates and access to sensitive public safety data.

  • Experience with containers and container orchestration tooling (Kubernetes / Helm / Docker)

  • Experience designing and deploying solutions to cloud environments (AWS)

  • Experience with IaC tooling (Terraform or similar)

  • Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps)

  • Experience with DVCS tooling (Git, GitHub, BitBucket, Azure DevOps)

  • Experience with RDBMS systems including managing schema evolution, migration, replication and disaster recovery (MySQL or similar)

  • Experience with Linux including scripting (Bash)

Preferred Skills:

  • Experience with AI/machine learning technologies is strongly preferred.

  • Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

  • Awareness of compliance frameworks (e.g. FedRAMP, CCCS)

  • Experience with SIP/RTP

  • Experience with developer tooling (Artifactory, Sonar, Gradle)

  • Familiarity with observability tooling (Prometheus/Grafana, ELK Stack or similar)

  • Knowledge of secure coding practices, security frameworks, and tooling (e.g., OWASP, NIST, CIS, Prisma Cloud/Twistlock, Mend/WhiteSource)

Soft Skills:

  • Strong problem-solving and analytical skills

  • Effective communication and teamwork abilities

  • Self-motivated with a passion for continuous learning

  • Ability to take ownership of problems and deliver complete solutions

Target Base Salary Range:$140,000 USD - $170,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidate can live anywhere in the United States.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 8+ years of cloud infrastructure experience

  • AND 5+ years of software engineering/development experience

  • AND 2+ year of Kubernetes and Docker experience

  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.


Travel RequirementsNone
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928