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Remote Bioinformatics Machine Learning Jobs in Washington

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

System One

Be Seen First

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

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Remote Bioinformatics Machine Learning information

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 Washington? For Remote Bioinformatics Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Washington look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Washington are:
What cities in Washington are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Washington with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
AI Software Engineer (Remote)

AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA • Remote

Full-time

Posted 15 days ago

Job description

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.

Responsibilities

  • Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models.
  • Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
  • Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
  • Agile Development: Use agile development techniques throughout the project lifecycle.

Qualifications and Experience

  • Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
  • Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
  • Programming Languages: Proficiency in Python is a must, experience with other languages such as JavaScript, TypeScript, or C++ is useful but not critical.
  • GenAI: Experience building applications leveraging LLMs as a core component
  • Work Environment: Experience working in a small, remote team environment is preferred.
  • Government Clearance: You must be a U.S. citizen and eligible for a government security clearance (Secret Clearance).

Bonus Experience

  • AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
  • Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
  • Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
  • Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. Experience with database systems such as Firebase and PostgreSQL.

About Knexus

At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.

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