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Remote Bioinformatics Machine Learning Jobs in Suitland, MD

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

New

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 ...

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

... 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 ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Develop machine learning models for classification, clustering, anomaly detection, risk scoring ...

Showing results 41-60

Remote Bioinformatics Machine Learning information

See Suitland, MD salary details

$64.1K

$101.8K

$161K

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

As of Aug 15, 2026, the average yearly pay for remote bioinformatics machine learning in Suitland, MD is $101,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $139,500.00 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?

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 job categories do people searching Remote Bioinformatics Machine Learning jobs in Suitland, MD look for?

The top searched job categories for Remote Bioinformatics Machine Learning jobs in Suitland, MD are:

Senior Algorithm & Signal Processing Researcher

STR

Arlington, VA • On-site, Remote

$139K - $170K/yr

Full-time

Re-posted 9 days ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.