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Remote Bioinformatics Machine Learning Jobs in Seattle, WA

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

About the Role We are looking for a motivated and self-driven Rising Senior, interested and specializing in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

CUJO AI

Director Platform Product Owner

Seattle, WA · On-site +1

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

Wsgr

Innovations and AI Solutions Engineer

Seattle, WA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

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All JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Seattle, WA

Remote Bioinformatics Machine Learning information

See Seattle, WA salary details

$67.7K

$107.5K

$170.1K

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

As of Jun 30, 2026, the average yearly pay for remote bioinformatics machine learning in Seattle, WA is $107,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $147,400.00 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 are popular job titles related to Remote Bioinformatics Machine Learning jobs in Seattle, WA? For Remote Bioinformatics Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Seattle, WA look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Seattle, WA with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Principal Technical Program Manager , Annapurna ML

Principal Technical Program Manager , Annapurna ML

Amazon

Seattle, WA • On-site, Remote

$146K - $190K/yr

Full-time

Posted 5 days ago

Key responsibilities

  • Own the capacity request lifecycle from intake through approval and delivery, coordinating across EC2, finance, and internal engineering stakeholders to secure and allocate Trainium instances.

  • Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify gaps and drive resolution.

  • Scope and deliver large projects end-to-end, including collecting business and systems requirements, writing specifications, driving project schedules, and managing the production launch.

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,911 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Annapurna Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 an Trn1n families of Machine Learning Accelerated EC2 instances. We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.
We're seeking a Principal Program Manager for the Annapurna ML, Neuron team

In this role you will be owning the capacity request lifecycle from intake through approval and delivery, coordinating across EC2, finance, and internal engineering stakeholders to secure and allocate Trainium instances. Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify gaps and drive resolution. You will be responsible for scoping and delivering large projects end-to-end.

Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.


The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current machine learning technologies as well as products spanning multiple technical domains from higher performance networking/compute and drivers to compilers and software development programs . You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.


As a Principal TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
Drive execution of projects
Provide technical direction with limited assistance
Lead cross functional project meetings
Lead milestone reviews
Present project status to the executive team
Manage project builds globally
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
About the team
Annapurna ML Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 and Trn2 families of Machine Learning Accelerated EC2 instances

We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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