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Remote Bioinformatics Machine Learning Jobs in Cypress, CA

Carnaby Fox

ML Engineer

Los Angeles, CA · On-site +1

$230K/yr

Key Responsibilities • Design and build scalable machine learning pipelines from data ingestion ... remote (Boston, Bay Area, San Diego, Los Angeles)

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Corvel

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/yr

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

This individual will be focused on designing, building, and deploying machine learning models and ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

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Remote Bioinformatics Machine Learning information

See Cypress, CA salary details

$63.1K

$100.1K

$158.4K

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

As of May 28, 2026, the average yearly pay for remote bioinformatics machine learning in Cypress, CA is $100,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $137,200.00 per year, depending on experience, location, and employer.

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.

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 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 cities near Cypress, CA are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Cypress, CA with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you

Principal Machine Learning Engineer

ChatGPT Jobs

Los Angeles, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Liftoff is seeking a Staff Machine Learning Engineer to develop and maintain machine learning models that impact business outcomes. This role demands strong experience in machine learning and deep neural networks, alongside collaborative efforts within a diverse team. The position supports full-time remote work across the United States, with a compensation package reflecting market rates and includes equity and health benefits.

Salary ranges based on location and experience vary significantly. J-18808-Ljbffr

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