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Remote Bioinformatics Machine Learning Jobs in Massachusetts

Data Engineer

Boston, MA · Remote

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... algorithms, * machine learning applications, * Python, * C++, * PyTorch, * GPU training ...

Showing results 41-60

Remote Bioinformatics Machine Learning information

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.

What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Massachusetts?

For Remote Bioinformatics Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Machine Learning jobs in Massachusetts look for?

The top searched job categories for Remote Bioinformatics Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Bioinformatics Machine Learning jobs?

Cities in Massachusetts with the most Remote Bioinformatics Machine Learning job openings:

Distinguished Engineer (Remote - Eligible)

Capital One

Cambridge, MA • On-site, Remote

Full-time

Re-posted 2 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 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.
Our Mission in Risk Technology
We establish the foundational technology that allows Capital One to operate successfully in an uncertain environment. Our team is intelligent, engaged, and empowered, working together to deliver exceptional products that advance our shared goal: revolutionizing risk management through technology. We develop advanced, data-driven tools that leverage machine learning and AI capabilities to proactively prevent risks and automatically identify potential issues before they can harm our business, customers, or communities.
Your Impact in This Role
You will partner directly with the Anti-Money Laundering & Sanctions teams to architect intelligent, real-time risk management products, heavily utilizing cutting-edge technologies like Artificial Intelligence. Your responsibilities extend beyond merely executing on a set roadmap; you will be a visionary strategist. You will define and introduce modern technologies to solve critical problems, including those our stakeholders haven't yet envisioned. This is a hands-on technical role. You are expected to dive deep into the codebase, write high-quality production code, actively participate in complex system design reviews, and mentor engineers through practical, on-the-ground technical leadership.
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 experience in Software Engineering and solution architecture
  • 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.
  • 8+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
  • 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)
  • Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions

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 the Capital 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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