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Remote Bioinformatics Machine Learning Jobs in Miami, FL

Knowledge Manager

Doral, FL · On-site +1

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Cyber AI Security Manager

Fort Lauderdale, FL · On-site +1

$106K - $143K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

New

Cyber AI Security Manager

Miami, FL · On-site +1

$106K - $143K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

New

Senior Solutions Engineer - Platform & Analytics

Miami, FL · On-site +1

$52.75 - $68.25/hr

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Easy Ice doesn't just want to be the #1 commercial ice machine solution in America--we also want to ... This is a remote "work from home" position but requires a successful salesperson to be in-market ...

Software Engineer - Web3

Miami, FL · Remote

$150K - $250K/yr

... is a fully remote role for N America based candidates. Salary range: 150-250K USD base plus ... Write production smart contracts across multiple virtual machines (EVM, SVM, TVM, and emerging alt ...

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Showing results 21-40

Remote Bioinformatics Machine Learning information

See Miami, FL salary details

$56.9K

$90.4K

$143K

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

As of Aug 23, 2026, the average yearly pay for remote bioinformatics machine learning in Miami, FL is $90,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $123,900.00 per year, depending on experience, location, and employer.

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.

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 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 the most commonly searched types of Bioinformatics Machine Learning jobs in Miami, FL?

The most popular types of Bioinformatics Machine Learning jobs in Miami, FL are:

What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Miami, FL?

For Remote Bioinformatics Machine Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Machine Learning jobs in Miami, FL look for?

The top searched job categories for Remote Bioinformatics Machine Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Miami, FL with the most Remote Bioinformatics Machine Learning job openings:

Full Stack .NET Architect - GenAI Experience (Remote)

Accenture

Miami, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 496 rated business services


Job description

This position is open to candidates located anywhere in the United States. Candidates are welcome to work remotely or out of one of our regional offices.

We are seeking a visionary Full Stack Engineering Architect with proven expertise in Generative AI (Gen AI) to drive the design and implementation of groundbreaking intelligent applications. The ideal candidate will possess deep technical acumen across front-end and back-end development, cloud architectures, and the latest advancements in AI and machine learning, particularly Gen AI platforms and techniques.

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  • Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities.

  • Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services.

  • Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products.

  • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences.

  • Establish and enforce software architecture best practices, coding standards, and agile development methodologies.

  • Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation.

  • Mentor engineers, championing technical excellence and continuous learning within the team.

  • Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

  • 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices.

  • Experience with Microsoft Azure OpenAI Service.

  • Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.).

  • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines.

  • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real-time data processing.

  • Track record of leading engineering teams and delivering complex projects from conception to production.

  • Excellent problem-solving, communication, and leadership skills.

  • Passion for innovation and staying ahead of Gen AI trends.

Preferred Skills

  • Knowledge of Agentic AI concepts, frameworks, and their practical applications.

  • Experience with prompt engineering, fine-tuning, and deploying custom Gen AI models.

  • Knowledge of ethical AI practices, responsible AI frameworks, and related governance.

  • Background in building AI-powered chatbots, recommendation engines, or creative content tools.

  • Familiarity with MLOps, model monitoring, and performance optimization.

We anticipate this job posting will be posted on2/16/2025 and open for at least 14 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Avanade

California $155,000-190,000

Cleveland $140,000-170,000

Colorado $140,000-170,000

District of Columbia $155,000-190,000

Illinois $150,000-180,000

Maryland $140,000-170,000

Massachusetts $140,000-170,000

Minnesota $150,000-180,000

New York $155,000-190,000

New Jersey $155,000-190,000

Washington $155,000-190,000

At Avanade, we are committed to ensure our people feel appreciated and empowered to succeed both personally and professionally.

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