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Remote Bioinformatics Machine Learning Jobs in Chester, VA

Lead AI Engineer #3624294

Richmond, VA · On-site +1

$180K - $200K/yr

... or remote candidates residing in approved Eastern Time Zone states. The role offers the opportunity to work on production-grade AI and machine learning solutions, contribute to scalable ML ...

Lead AI Engineer #3631731

Richmond, VA · On-site +1

$120K - $187K/yr

... with remote consideration for candidates located in approved Eastern Time Zone states. The role offers the opportunity to help shape scalable AI and machine learning capabilities across a growing ...

New

Lead Data Engineer #3624301

Richmond, VA · Remote

$114K - $187K/yr

... machine learning, operational reporting, and customer-facing products. What's In Store For You This is a full-time, remote opportunity for candidates residing in approved Eastern Time states or ...

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... growing data and machine learning organization and help build the pipelines, models, and ...

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... growing data and machine learning organization and help build the pipelines, models, and ...

Lead Data Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

POSITION TITLE Lead Data Engineer POSITION LOCATION This position is available to remote applicants ... growing data and machine learning organization and help build the pipelines, models, and ...

Lead Software Engineer (Java)

Richmond, VA · On-site +1

$120K - $140K/yr

... analysis, machine learning and artificial intelligence) in the financial services space. This ... This is a REMOTE role. Snapshot of the client: * The company is well respected in the Richmond ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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 ...

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Showing results 1-20

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 Jul 12, 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.

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 Chester, VA are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Chester, VA with the most Remote Bioinformatics Machine Learning job openings:
Distinguished Engineer (Remote - Eligible)

Distinguished Engineer (Remote - Eligible)

Capital One

Richmond, VA • On-site, Remote

Full-time

Re-posted 22 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

75th of 149 rated banks


Job description

Distinguished Engineer (Remote - Eligible)

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.

In this role, you will work with our Data Platform teams who bring data from across Capital One into a single view of customers, transactions, and investigations. These teams work with the biggest and most complicated data Capital One has, are responsible for performance, data quality, and integrity. The data sets power machine learning models and feed directly into regulatory filings.

If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Key responsibilities:

  • Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle

  • Decompose complex problems into practical and operational solutions

  • Ensure the quality of technical design and implementation

  • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

  • Continue learning and injecting advanced technical knowledge into our community

  • Handle several projects simultaneously, balancing your time to maximize impact

  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

  • Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application

  • Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility

Capital One is open to hiring a Remote Employee for this opportunity.

Basic Qualifications:

  • Bachelor's Degree

  • At least 7 years of experience in Software engineering and solution architecture

  • At least 7 years of experience in Enterprise architecture and design patterns

  • At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)

  • At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures

Preferred Qualifications:
  • Bachelors' or Master's Degree in Computer Science or a related field

  • 10+ years of professional experience coding in commonly used languages like Java, Python, JavaScript/TypeScript

  • Deep understanding of the SDLC and systems design that accounts for highly reliable systems and highly maintainable systems

  • Experience leading teams to improve their testing and deployment processes, and experience enhancing data products to CI/CD standards

  • Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing)

  • Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer


Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer


McLean, VA: $269,100 - $307,200 for Distinguished Engineer


New York, NY: $293,600 - $335,100 for Distinguished Engineer


Richmond, VA: $244,700 - $279,200 for Distinguished Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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