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Remote Bioinformatics Machine Learning Jobs (NOW HIRING)

Baylor Genetics

Lead Bioinformatics AI Scientist

Education: * Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field. * Experience: * 8+ years of ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Experience in NGS data analysis and bioinformatic pipelines. * Experience with containerized cloud ...

Bruker Corporation

Scientist, Bioinformatics

$96K - $153K/yr

... machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data. • Ability to communicate, educate and engage wet lab scientists ...

Jobgether

You will collaborate with software engineers and technical teams in a fast-moving, remote ... The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI ...

New

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics ... Remote USA $124,800-$171,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

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Remote Bioinformatics Machine Learning information

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

As of Aug 1, 2026, the average yearly pay for remote bioinformatics machine learning in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 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, 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.

More about Remote Bioinformatics Machine Learning jobs
What cities are hiring for Remote Bioinformatics Machine Learning jobs? Cities with the most Remote Bioinformatics Machine Learning job openings:
What are the most commonly searched types of Bioinformatics Machine Learning jobs? The most popular types of Bioinformatics Machine Learning jobs are:
What states have the most Remote Bioinformatics Machine Learning jobs? States with the most job openings for Remote Bioinformatics Machine Learning jobs include:
What job categories do people searching Remote Bioinformatics Machine Learning jobs look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs are:
Remote Bioinformatics Machine Learning jobs near you
Infographic showing various Remote Bioinformatics Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 60% As Needed, 20% Full Time, 3% Part Time, 14% Nights, and 2% Summer. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Lead Bioinformatics AI Scientist

Baylor Genetics

Remote

Full-time

Re-posted 10 hours ago

Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

25th of 120 rated laboratories

Job description

Baylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. This individual will serve as a scientific and technical leader, driving the design, development, and implementation of advanced AI methods, algorithms, and workflows to enhance Baylor Genetics' clinical testing and genomic data analysis capabilities.
The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models, developing AI applications, and more. The successful candidate will combine deep scientific expertise in genomics, bioinformatics, and AI modeling with strong technical skills in AI/ML algorithm design and data analysis, developing next-generation AI-empowered platforms for clinical-grade genomic analysis.
QUALIFICATIONS:
  • Education:
    • Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field.
  • Experience:
    • 8+ years of professional experience in bioinformatics, AI application development, machine learning and/or genomic data analysis, including 3-5 years in a principal or leadership role.
    • Hands-on experience in state-of-the-art GenAI application development, LLM model turning, agentic AI, and model context protocol (MCP).
    • Hands-on experience in building and/or adopting novel AI and GenAI solutions for business specific applications, especially in the field of clinical testing and genomic data analysis.
    • Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment in the production environment requiring fast turn-around-time (TAT) and high reliability.
    • Hands-on experience in human genetics/multi-omics data modeling and application development especially in next-generation sequencing data.
    • Hands-on experience in machine learning framework (Huggingface, TensorFlow, PyTorch, etc.).
    • Hands-on experience with scripting language, such as Bash and Python.
    • Strong experience in cloud platform (Azure, AWS, GCP) and data services (data lakehouse/data warehouse).
    • Experience in context-aware OCR.
    • Experience in databases, including SQL and no-SQL.
    • DevOps experience such as unit testing, CI/CD is a plus.
    • Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment.
  • Core Competencies:
    • Strong scientific reasoning and analytical problem-solving skills.
    • Proven ability to lead R&D initiatives from concept through validation and deployment.
    • Deep understanding of genomic data, AI applications, and biological context.
    • Excellent written and verbal communication for technical and clinical translation.
    • Collaborative mindset and ability to work across disciplines.
    • Commitment to innovation, quality, and patient-centered outcomes.

DUTIES AND RESPONSIBILITIES:
  • Serves as the visionary leader in Bioinformatics AI application development in a clinical genetic testing setting. Provides technical guidance and hands-on support towards building company's next-generation bioinformatics AI platform.
  • Identifies, prototypes, and develops state-of-the-art AI applications to revolutionize clinical testing and genomic analysis workflow.
  • Designs, develops, evaluates, and deploys novel AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets.
  • Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to build next-generation clinical genetic testing platforms.
  • Supports both internal and external data requirements by leveraging AI and GenAI capabilities to keep up with the increasing demands of the business.
  • Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals

WHY JOIN BAYLOR GENETICS
At Baylor Genetics, you'll join a world-class team dedicated to transforming clinical genomics through scientific excellence and technological innovation. As a Lead Bioinformatics AI Scientist, you'll have the opportunity to drive the development of new AI- and GenAI-empowered approaches that redefine clinical testing, genomics data analysis, and precision diagnostics.
You will collaborate with leading scientists, engineers, and clinicians to deliver discoveries that matter, advancing the frontiers of precision medicine and improving lives through genomic insight.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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